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Wyświetlanie 1-33 z 33
Tytuł:
Decentralized static output tracking control of interconnected and disturbed Takagi–Sugeno systems
Autorzy:
Jabri, Dalel
Guelton, Kevin
Belkhiat, Djamel E.C.
Manamanni, Noureddine
Powiązania:
https://bibliotekanauki.pl/articles/331181.pdf
Data publikacji:
2020
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
interconnected Takagi–Sugeno system
decentralized static outputs tracking controller
H∞ criterion
LMIs
model Takagi-Sugeno
kontroler śledzenia
Opis:
This article describes a new procedure for the design of decentralized output-feedback tracking controllers for a class of interconnected Takagi–Sugeno (TS) fuzzy systems with external bounded disturbances and measurement noise. The main idea consists in transforming the decentralized tracking control problem, by using the descriptor redundancy formulation, to a robust decentralized stabilization one. The non-parallel distributed compensation (non-PDC) controllers proposed here are synthesized to satisfy robust H∞ tracking performance with disturbance attenuation. The decentralized controllers design conditions are given in terms of LMIs via extended quadratic Lyapunov functions. Finally, simulations are presented: two numerical examples are dedicated to compare the conservatism of the proposed approach regarding the previous results available in the literature; then, the effectiveness of the decentralized controller design methodology is illustrated with a closed-loop simulation of two inverted pendulums connected by a spring.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2020, 30, 2; 225-238
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Block-structured models composed of nonlinear fuzzy dynamic and static parts : a case study
Autorzy:
Bazydło, P.
Marusak, P.
Powiązania:
https://bibliotekanauki.pl/articles/384609.pdf
Data publikacji:
2018
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
block-structured model
Takagi-Sugeno model
identification
modelling
fuzzy logic
model blokowy
modele Takagi-Sugeno
identyfikacja
modelowanie
logika rozmyta
Opis:
The paper addresses issues of the dynamic fuzzy Takagi- Sugeno models identification for multi-step ahead prediction. In the case of highly nonlinear models, standard Takagi-Sugeno models may be hard to identify if they should be designed for recurrent prediction generation. In such a case, alternative fuzzy block-structured models composed of fuzzy dynamic and fuzzy static parts may be useful. Two main benefits of the proposed models are: (1) possibility to speed-up model tuning procedure, (2) potential to fine-tune an already available, standard Takagi-Sugeno model. The benefits offered by the proposed models are illustrated using the example of identification of a nonlinear process – a system consisting of two tanks of different shapes (cylindrical and conical ones).
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2018, 12, 1; 50-60
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Design and Stability of Fuzzy Logic Multi-Regional Output Controllers
Autorzy:
Domański, P.
Brdyś, M. A.
Tatjewski, P.
Powiązania:
https://bibliotekanauki.pl/articles/908274.pdf
Data publikacji:
1999
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
sterowanie nieliniowe
sterowanie wewnętrzne
zbiór rozmyty
model Takagi-Sugeno
nonlinear output control
fuzzy logic
Takagi-Sugeno models
stability conditions
Opis:
Design and stability analysis of fuzzy multi-regional digital controllers is considered in the paper. The controllers are based on a notion of NARMAX systems, very similar to the Takagi-Sugeno fuzzy model. The nonlinear system is approximated by a number of linear subsystems. Linear controllers are designed for all subsystems. It can be made in a classical way due to the subsystems linearity. The controllers are blended into one controller by employing fuzzy logic, the result being the fuzzy multi-regional controller (FuMR). The stability analysis of nonlinear systems with FuMR controllers composed of dynamic output feedback local linear controllers is provided. Examples illustrate the design procedure and the meaning of the stability criterion.
Źródło:
International Journal of Applied Mathematics and Computer Science; 1999, 9, 4; 883-897
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Further results on robust fuzzy dynamic systems with LMI D-stability constraints
Autorzy:
Assawinchaichote, W.
Powiązania:
https://bibliotekanauki.pl/articles/331041.pdf
Data publikacji:
2014
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
fuzzy controller
robust control
LMI approach
D-stability
Takagi-Sugeno fuzzy model
regulator rozmyty
sterowanie odporne
stabilność
model Takagi-Sugeno
Opis:
This paper examines the problem of designing a robust H∞ fuzzy controller with D-stability constraints for a class of nonlinear dynamic systems which is described by a Takagi–Sugeno (TS) fuzzy model. Fuzzy modelling is a multi-model approach in which simple sub-models are combined to determine the global behavior of the system. Based on a linear matrix inequality (LMI) approach, we develop a robust H∞ fuzzy controller that guarantees (i) the L2-gain of the mapping from the exogenous input noise to the regulated output to be less than some prescribed value, and (ii) the closed-loop poles of each local system to be within a specified stability region. Sufficient conditions for the controller are given in terms of LMIs. Finally, to show the effectiveness of the designed approach, an example is provided to illustrate the use of the proposed methodology.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2014, 24, 4; 785-794
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Improving metrological properties of electric traction energy meters using fuzzy controllers
Autorzy:
Dominikowski, B.
Pacholski, D.
Anuszczyk, J.
Gocek, A.
Powiązania:
https://bibliotekanauki.pl/articles/961423.pdf
Data publikacji:
2018
Wydawca:
Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
Tematy:
gain factor correction
traction meter
Mamdani model
Takagi-Sugeno model
korekcja współczynnika wzmocnienia
miernik trakcji
model Mamdaniego
model Takagi-Sugeno
Opis:
This paper presents the possibility of using a fuzzy controller to correct metrological properties of an electric traction energy meter. So far, no algorithms based on fuzzy logic to determine the desired conversion value of the current channel of the electricity meter have been applied. Currently, for the mentioned channel, conventional methods of gain determination are used, based on a sequential algorithm that controls operation of the programmable gain amplifier. The proposed corrector is designed for smart and continuous modification of the conversion factor of the low-voltage input part of the current channel in the electric energy meter. The authors have performed an accurate analysis of the current function in the main circuit of an electric locomotive by creating a model of a traction inverter subject to asynchronous motor load. An essential concept is this paper is to present the possibility of having a multi-input fuzzy controller split into two-input controllers connected in parallel and cascade. By performing a computer simulation of systems used for correcting metrological properties of electric traction energy meters, it has been proven that the applied fuzzy systems, based on an expert’s knowledge of digitally controlled PGA (Programmable Gain Amplifier) type operational amplifiers, are advantageous.
Źródło:
Transport Problems; 2018, 13, 1; 147-158
1896-0596
2300-861X
Pojawia się w:
Transport Problems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Intelligent leader-follower behaviour for unmanned ground-based vehicles
Autorzy:
Sadeghi-Tehran, P.
Andreu, J.
Angelov, P.
Zhou, X.
Powiązania:
https://bibliotekanauki.pl/articles/384970.pdf
Data publikacji:
2011
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
leader-following robot
human-robot interaction
evolving Takagi-Sugeno
Opis:
In this paper an autonomous leader-follower is presented and tested in an unknown and unpredictable environment. Three different types of controller named as First principles-based proportional (P) controller, Fuzzy Logic Controller, and Model-based Predictive Controller are developed and tested in real-time to provide a smooth following behaviour. The follower used the leader's status sent by a smart phone to differentiate between obstacles and the leader and then using two types of sensor, laser and sonar, during the obstacle avoidance procedure. In order to identify the leader again out of many obstacles around, two alternative techniques are proposed using superposition of the scans collected by the laser and predicting the leader's trajectory using evolving Takagi- Sugeno (eTS). At the end, experiments are presented with a real-time mobile robot at Lancaster University.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2011, 5, 1; 36-46
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Fuzzy Techniques in the Functional Approximation of Volumetric Capnograms
Autorzy:
Scandurra, A. G.
Pra, Ana L. Dai
Passoni, L. I.
Meschino, G. J.
Clara, F. M.
Tusman, G.
Böhm, S. H.
Powiązania:
https://bibliotekanauki.pl/articles/108656.pdf
Data publikacji:
2011
Wydawca:
Społeczna Akademia Nauk w Łodzi
Tematy:
volumetric capnography
Takagi-Sugeno Fuzzy Inference Systems
functional modeling
Opis:
The Volumetric Capnography (VC) is the plot of amounts of expired CO₂ within one tidal breath. The estimation of physiologic parameters derived from the VC is useful in the study of respiratory physiology, clinical anesthesia and critical care medicine. In this work we propose the use of a function based on a Takagi-Sugeno fuzzy model and a functional approximation based on the Levenberg-Marquardt algorithm to approximate the VC, with the goal to compute two variables of interest: the airway dead space (VDaw) and the slope of the so-called Phase III (SIII). These models presented a good performance in those capnograms that showed difficulties to be modeled with traditional medical analysis.
Źródło:
Journal of Applied Computer Science Methods; 2011, 3 No. 1; 17-29
1689-9636
Pojawia się w:
Journal of Applied Computer Science Methods
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A simple criterion for the global exponential stability of uncertain T-S fuzzy singularly perturbed discrete-time systems
Autorzy:
Sun, Y. J.
Powiązania:
https://bibliotekanauki.pl/articles/205643.pdf
Data publikacji:
2011
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
Takagi-Sugeno fuzzy system
singularly perturbed systems
uncertain systems
Opis:
In this paper, the global exponential stability for a class of uncertain Takagi-Sugeno (T-S) fuzzy singularly perturbed systems is investigated. Based on time-domain approach with difference inequality technique, a simple criterion is derived to guarantee the global exponential stability of such systems. The upper bound of the singular perturbation parameter is also provided by estimating the unique positive zero of specific function. Finally, two numerical examples are given to demonstrate the feasibility and effectiveness of the obtained result.
Źródło:
Control and Cybernetics; 2011, 40, 1; 59-71
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Nonlinear actuator fault estimation observer: an inverse system approach via a T-S fuzzy model
Autorzy:
Xu, D.
Jiang, B.
Shi, P.
Powiązania:
https://bibliotekanauki.pl/articles/331464.pdf
Data publikacji:
2012
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
model rozmyty Takagi-Sugeno
obserwator ślizgowy
system odwrotny
actuator fault estimation
Takagi-Sugeno fuzzy models
robust sliding mode observer
inverse system method
Opis:
Based on a Takagi-Sugeno (T-S) fuzzy model and an inverse system method, this paper deals with the problem of actuator fault estimation for a class of nonlinear dynamic systems. Two different estimation strategies are developed. Firstly, T-S fuzzy models are used to describe nonlinear dynamic systems with an actuator fault. Then, a robust sliding mode observer is designed based on a T-S fuzzy model, and an inverse system method is used to estimate the actuator fault. Next, the second fault estimation strategy is developed. Compared with some existing techniques, such as adaptive and sliding mode methods, the one presented in this paper is easier to be implemented in practice. Finally, two numerical examples are given to demonstrate the efficiency of the proposed techniques.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2012, 22, 1; 183-196
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Towards a health-aware fault tolerant control of complex systems: A vehicle fleet case
Autorzy:
Lipiec, Bogdan
Mrugalski, Marcin
Witczak, Marcin
Stetter, Ralf
Powiązania:
https://bibliotekanauki.pl/articles/2172125.pdf
Data publikacji:
2022
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
FTCD
modeling bearings degradation
remaining useful life prediction
health aware fault tolerant control
Takagi-Sugeno model
przewidywanie pozostałego czasu pracy
model Takagi-Sugeno
Opis:
The paper deals with the problem of health-aware fault-tolerant control of a vehicle fleet. In particular, the development process starts with providing the description of the process along with a suitable Internet-of-Things platform, which enables appropriate communication within the vehicle fleet. It also indicates the transportation tasks to the designated drivers and makes it possible to measure their realization times. The second stage pertains to the description of the analytical model of the transportation system, which is obtained with the max-plus algebra. Since the vehicle fleet is composed of heavy duty machines, it is crucial to monitor and analyze the degradation of their selected mechanical components. In particular, the components considered are ball bearings, which are employed in almost every mechanical transportation system. Thus, a fuzzy logic Takagi–Sugeno approach capable of assessing their time-to-failure is proposed. This information is utilized in the last stage, which boils down to health-aware and fault-tolerant control of the vehicle fleet. In particular, it aims at balancing the exploitation of the vehicles in such a way as to maximize they average time-to-failure. Moreover, the fault-tolerance is attained by balancing the use of particular vehicles in such a way as to minimize the effect of possible transportation delays within the system. Finally, the effectiveness of the proposed approach is validated using selected simulation scenarios involving vehicle-based transportation tasks.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2022, 32, 4; 619--634
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
LMI based fuzzy observer design for Takagi-Sugeno models containing vestigial nonlinear terms
Autorzy:
Krokavec, D.
Filasová, A.
Powiązania:
https://bibliotekanauki.pl/articles/229515.pdf
Data publikacji:
2014
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
Takagi-Sugeno models
fuzzy observer
linear matrix inequality
incremental quadratic inequality
Opis:
The paper deals with the problem of full order fuzzy observer design for the class of continuous-time nonlinear systems, represented by Takagi-Sugeno models containing vestigial nonlinear terms. On the basis of the Lyapunov stability criterion and the incremental quadratic inequalities, two design conditions for this kind of system model are outlined in the terms of linear matrix inequalities. A numerical example is given to illustrate the procedure and to validate the performances of the proposed approach.
Źródło:
Archives of Control Sciences; 2014, 24, 1; 39-52
1230-2384
Pojawia się w:
Archives of Control Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Robust H∞ fuzzy approach design via Takagi‐Sugeno descriptor model. application for 2‐DOF serial manipulator tracking control
Autorzy:
Thi, Van Anh Nguyen
Pham, Duc Binh
Nguyen, Danh Huy
Nguyen, Tung Lam
Powiązania:
https://bibliotekanauki.pl/articles/27314207.pdf
Data publikacji:
2022
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
tracking control
serial manipulator robot
fuzzy control
Takagi-Sugeno
Lyapunov stability
Opis:
This paper focuses on trajectory tracking control for ro‐ bot manipulators. While much research has been done on this issue, many other aspects of this field have not been fully addressed. Here, we present a new solution using feedforward controller to eliminate parametric uncer‐ tainties and unknown disturbances. The Takagi‐Sugeno fuzzy descriptor system (TSFDS) is chosen to describe the dynamic characteristics of the robot. The combination of this fuzzy system and the robust H∞ performance makes the system almost isolated from external factors. The li‐ near matrix inequalities based on the theory of Lyapunov stability is considered for control design. The proposed method has proven its effectiveness through simulation results.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2022, 16, 3; 22--29
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Prognozowanie rozmyte zapotrzebowania na energie elektryczna na terenach wiejskich w dlugim horyzoncie czasowym
Fuzzy long-term forecasting of electricity demand in rural areas
Autorzy:
Trojanowska, M
Malopolski, J.
Powiązania:
https://bibliotekanauki.pl/articles/883650.pdf
Data publikacji:
2008
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Maszyn Rolniczych
Tematy:
obszary wiejskie
model Takagi-Sugeno
zapotrzebowanie na energie elektryczna
prognozowanie rozmyte
Źródło:
Technika Rolnicza Ogrodnicza Leśna; 2008, 06; 19-20
1732-1719
2719-4221
Pojawia się w:
Technika Rolnicza Ogrodnicza Leśna
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Takagi-Sugeno fuzzy control scheme for electrohydraulic active suspensions
Autorzy:
Du, H.
Zhang, N.
Powiązania:
https://bibliotekanauki.pl/articles/970221.pdf
Data publikacji:
2010
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
vehicle active suspension
electrohydraulic actuator dynamics
Takagi-Sugeno fuzzy modelling
actuator saturation
Opis:
The paper presents a new control strategy for active vehicle suspensions using electrohydraulic actuators based on Takagi-Sugeno (T-S) fuzzy modelling technique. As the electrohydraulic actuator dynamics is highly nonlinear, the T-S fuzzy modelling technique using the idea of "sector nonlinearity" is applied to exactly represent the nonlinear dynamics of electrohydraulic actuator in a denned region at first. Then, by means of parallel distributed compensation (PDC) scheme and Lyapunov method, a fuzzy HOO controller is designed for the T-S fuzzy model to optimise the suspension ride comfort performance, considering actuator input voltage saturation problem. The sufficient conditions for the existence of such a controller are derived in terms of linear matrix inequalities (LMIs). The advantage of this new control strategy for electro-hydraulic active suspensions is that it directly aims at optimising suspension performance with guaranteeing the closed-loop system stability. Thus, two-loop control strategy, where the inner loop is used to make the electrohydraulic actuator tracking a desired force (pressure, or displacement, etc.), is not necessary. In addition, the controller is simple in structure compared to the adaptive control algorithms. A numerical example is used to validate the effectiveness of the proposed approach. It is confirmed by the simulations that the designed controller can achieve better performance than the active suspension with optimal skyhook damper.
Źródło:
Control and Cybernetics; 2010, 39, 4; 1095-1115
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Rozmyta metoda wyboru kierowcy do realizacji zadań transportowych
Fuzzy method of driver selection for realization of transport tasks
Autorzy:
Kijek, Magdalena
Rykała, Łukasz
Zelkowski, Jarosław
Powiązania:
https://bibliotekanauki.pl/articles/1385467.pdf
Data publikacji:
2019
Wydawca:
Polskie Wydawnictwo Ekonomiczne
Tematy:
logika rozmyta
Takagi-Sugeno
zadanie transportowe
optymalizacja
fuzzy logic
transportation task
optimization
Opis:
Wzrost zapotrzebowania na usługi transportowe wymusza na przedsiębiorstwach transportowych konieczność stosowania nowoczesnych rozwiązań. A zatem firmy oprogramowania umożliwiające śledzenie oraz kontrolę nad przewożonym ładunkiem, powinny w pełni wykorzystywać ich możliwości. Dokonując analizy i oceny parametrów jazdy można uzyskać oszczędności związane ze zmniejszeniem kosztów transportu. Pozwoli to także na zwiększenie użyteczności pojazdów, która przyczynia się do efektywnego zarządzania flotą transportową. W artykule przedstawiono analizę przedsiębiorstwa zajmującego się transportem materiałów sypkich. Na podstawie zgromadzonych danych przedstawiono autorki rozmyty model Takagi-Sugeno oceny i wyboru realizatora zadań transportowych.
The increase in the demand for transport services forces transport companies to use modern solutions. Using software that enables tracking and control of the transported cargo, companies should make full use of their capabilities. By analyzing and assessing the driving parameters, they will allow them to save on transport costs. It will also allow to increase the usability of vehicles, which contributes to increasing the effective management of the transport fleet. The article presents an analysis of an enterprise dealing with the transport of loose materials. Based on the collected data, the author's Takagi-Sugeno fuzzy model was presented to assess and select the performer of transport tasks.
Źródło:
Gospodarka Materiałowa i Logistyka; 2019, 5; 15-24
1231-2037
Pojawia się w:
Gospodarka Materiałowa i Logistyka
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
New fault tolerant control strategies for nonlinear Takagi-Sugeno systems
Autorzy:
Ichalal, D.
Marx, B.
Ragot, J.
Maquin, D.
Powiązania:
https://bibliotekanauki.pl/articles/331456.pdf
Data publikacji:
2012
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
model Takagi-Sugeno
sterowanie tolerujące uszkodzenia
uszkodzenie równoczesne
estymacja stanu
twierdzenie Lapunowa
Takagi-Sugeno model
fault tolerant control
simultaneous fault
state estimation
Polya's theorem
Lyapunov theory
input to state stability
Opis:
New methodologies for Fault Tolerant Control (FTC) are proposed in order to compensate actuator faults in nonlinear systems. These approaches are based on the representation of the nonlinear system by a Takagi-Sugeno model. Two control laws are proposed requiring simultaneous estimation of the system states and of the occurring actuator faults. The first approach concerns the stabilization problem in the presence of actuator faults. In the second, the system state is forced to track a reference trajectory even in faulty situation. The control performance depends on the estimation quality; indeed, it is important to accurately and rapidly estimate the states and the faults. This task is then performed with an Adaptive Fast State and Fault Observer (AFSFO) for the first case, and a Proportional-Integral Observer (PIO) in the second. Stability conditions are established with Lyapunov theory and expressed in a Linear Matrix Inequality (LMI) formulation to ease the design of FTC. Furthermore, relaxed stability conditions are given with the use of Polya's theorem. Some simulation examples are given in order to illustrate the proposed approaches.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2012, 22, 1; 197-210
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A novel fuzzy c-regression model algorithm using a new error measure and particle swarm optimization
Autorzy:
Soltani, M.
Chaari, A.
Ben Hmida, F.
Powiązania:
https://bibliotekanauki.pl/articles/330134.pdf
Data publikacji:
2012
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
model rozmyty Takagi-Sugeno
algorytm grupowania
metoda najmniejszych kwadratów
optymalizacja rojem cząstek
Takagi-Sugeno fuzzy models
noise clustering algorithm
fuzzy c-regression model
orthogonal least squares
particle swarm optimization (PSO)
Opis:
This paper presents a new algorithm for fuzzy c-regression model clustering. The proposed methodology is based on adding a second regularization term in the objective function of a Fuzzy C-Regression Model (FCRM) clustering algorithm in order to take into account noisy data. In addition, a new error measure is used in the objective function of the FCRM algorithm, replacing the one used in this type of algorithm. Then, particle swarm optimization is employed to finally tune parameters of the obtained fuzzy model. The orthogonal least squares method is used to identify the unknown parameters of the local linear model. Finally, validation results of two examples are given to demonstrate the effectiveness and practicality of the proposed algorithm.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2012, 22, 3; 617-628
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Forecasting of the daily demand for natural gas in rural households using the methods of artificial intelligence. Part II. Forecasting using fuzzy logic
Prognozowanie dobowego zapotrzebowania na gaz ziemny wiejskich gospodarstw domowych przy wykorzystaniu metod sztucznej inteligencji. Cz. 2. Prognozowanie przy wykorzystaniu logiki rozmytej
Autorzy:
Małopolski, J.
Trojanowska, M.
Nęcka, K.
Powiązania:
https://bibliotekanauki.pl/articles/335847.pdf
Data publikacji:
2015
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Maszyn Rolniczych
Tematy:
natural gas
short-term forecasts
fuzzy logic
prognoza krótkookresowa
logika rozmyta
modele Takagi-Sugeno
Opis:
In this paper, two fuzzy Takagi-Sugeno models were built to describe daily gas consumption of rural households using the Gaussian and trapezoidal membership function. It was found that the predictive values of both models are similar and satis-factory (MAPE 5.3-5.5%) and slightly better than in the case of the model of neural network when the BFGS algorithm was used for training, as shown in the first section of the study.
W pracy przedstawiono zbudowane dwa rozmyte modele typu Takagi-Sugeno opisujące dobowe zużycie gazu przez wiejskie gospodarstwa domowe, wykorzystując gaussowską i trapezoidalną funkcję przynależności. Stwierdzono, że wartość predykcyjna obydwu modeli jest podobna oraz zadowalająca (MAPE rzędu 5,3-5,5%) i nieznacznie lepsza od modelu neuronowe-go, gdy do uczenia sieci zastosowano algorytm BFGS, a który przedstawiono w części I opracowania.
Źródło:
Journal of Research and Applications in Agricultural Engineering; 2015, 60, 2; 65-67
1642-686X
2719-423X
Pojawia się w:
Journal of Research and Applications in Agricultural Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Wpływ opóźnienia na dynamikę układów z regulacją klasyczną i rozmytą
The influence of time delay on classically and fuzzy controlled system dynamics
Autorzy:
Górniak, K.
Powiązania:
https://bibliotekanauki.pl/articles/1807715.pdf
Data publikacji:
2011
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
układy z opóźnieniem
regulacja rozmyta
model Mamdaniego
model Takagi-Sugeno
regulacja klasyczna
jakość sterowania
Opis:
The influence of time delay on classically and fuzzy controlled system dynamics is under investigation. Here, the time delay is increased while the parameters of the controller remains unchanged. The systems with classical PI controller and fuzzy PI controller were compared in a case of the same multiinertial object in order to facilitate reliable comparison. The investigation have been performed with aid of Mamdani and Takagi-Sugeno type fuzzy controller. Moreover, the influence of increasing number of rules on fuzzy controlled system's operation quality, with occurrence of delayed function, was analyzed.
Źródło:
Prace Naukowe Instytutu Maszyn, Napędów i Pomiarów Elektrycznych Politechniki Wrocławskiej. Studia i Materiały; 2011, 65, 31; 222-232
1733-0718
Pojawia się w:
Prace Naukowe Instytutu Maszyn, Napędów i Pomiarów Elektrycznych Politechniki Wrocławskiej. Studia i Materiały
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
An adaptive observer design approach for a class of discrete-time nonlinear systems
Autorzy:
Srinivasarengan, K.
Ragot, J.
Aubrun, C.
Maquin, D.
Powiązania:
https://bibliotekanauki.pl/articles/330844.pdf
Data publikacji:
2018
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
adaptive observer
joint state estimation
parameter estimation
Takagi-Sugeno model
time-varying parameter estimation
sector nonlinearity transformation
discrete-time nonlinear systems
obserwator adaptacyjny
identyfikacja parametrów
model Takagi-Sugeno
transformacja nieliniowa
dyskretny układ nieliniowy
Opis:
We consider the problem of joint estimation of states and some constant parameters for a class of nonlinear discrete-time systems. This class contains systems that could be transformed into a quasi-LPV (linear parameter varying) polytopic model in the Takagi–Sugeno (T–S) form. Such systems could have unmeasured premise variables, a case usually overlooked in the observer design literature. We assert that, for such systems in discrete-time, the current literature lacks design strategies for joint state and parameter estimation. To this end, we adapt the existing literature on continuous-time linear systems for joint state and time-varying parameter estimation. We first develop the discrete-time version of this result for linear systems. A Lyapunov approach is used to illustrate stability, and bounds for the estimation error are obtained via the bounded real lemma. We use this result to achieve our objective for a design procedure for a class of nonlinear systems with constant parameters. This results in less conservative conditions and a simplified design procedure. A basic waste water treatment plant simulation example is discussed to illustrate the design procedure.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2018, 28, 1; 55-67
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Comparison between GPC and adaptive GPC based on Takagi Sugeno multi-model for an Activated Sludge Reactor
Autorzy:
Matoug, L.
Khadir, M. T.
Powiązania:
https://bibliotekanauki.pl/articles/206049.pdf
Data publikacji:
2017
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
adaptive generalized predictive control
generalized predictive control
Takagi Sugeno
activated sludge reactor
activated sludge model
Opis:
This paper investigates the use of Adaptive Generalized Predictive Control (TS-AGPC) for an activated sludge reactor, based on a Takagi Sugeno (TS) model, and presents the comparison between the latter and Generalized Predictive Control using an overall TS model (TS-GPC). The reduced bio-reactor Activated Sludge ASM1 Model, which describes the biological degradation of an activated sludge reactor, is designed based on several simplifications, as a TS model, its structure being based on a set of linear submodels, covering the process input-output space, interpolated by a nonlinear weighting function µ. The adaptive GPC approach is obtained by switching between linear submodels of the TS formulation. This is performed by selecting, in turns, a portion of the weighting function µ. The winning model will then act as an internal model for the TS-AGPC control law formulation, whereas the complete TS model is used in the calculation of the TS-GPC control law. Finally, the performance under input and parametric disturbances as well as control variable constraints of the TS-AGPC controller are compared to those for a global TS-GPC controller and a benchmark PID in terms of error and response dynamics.
Źródło:
Control and Cybernetics; 2017, 46, 2; 147-176
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Stabilization of a certain class of fuzzy control systems with uncertainties
Autorzy:
Taieb, N. H.
Hammami, M. A.
Delmotte, F.
Powiązania:
https://bibliotekanauki.pl/articles/229196.pdf
Data publikacji:
2017
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
Takagi-Sugeno fuzzy systems
PDC controller
global uniform practical exponential stability
Lyapunov stability
parametric uncertainty
Opis:
In this paper, we investigate the global uniform practical exponential stability for a class of uncertain Takagi-Sugeno fuzzy systems. The uncertainties are supposed uniformly to be bounded by some known integrable functions to obtain an exponential convergence toward a neighborhood of the origin. Therefore, we use common quadratic Lyapunov function (CQLF) and parallel distributed compensation (PDC) controller techniques to show the global uniform practical exponential stability of the closed-loop system. Numeric simulations are given to validate the proposed approach.
Źródło:
Archives of Control Sciences; 2017, 27, 3; 453-481
1230-2384
Pojawia się w:
Archives of Control Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
An H∞ sliding mode observer for Takagi–Sugeno nonlinear systems with simultaneous actuator and sensor faults
Autorzy:
Ben Brahim, A.
Dhahri, S.
Ben Hmida, F.
Sellami, A.
Powiązania:
https://bibliotekanauki.pl/articles/330626.pdf
Data publikacji:
2015
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
fault reconstruction
fault estimation
simultaneous fault
H∞ sliding mode observer
uncertain Takagi Sugeno system
LMI optimization
Opis:
This paper considers the problem of robust reconstruction of simultaneous actuator and sensor faults for a class of uncertain Takagi–Sugeno nonlinear systems with unmeasurable premise variables. The proposed fault reconstruction and estimation design method with H∞ performance is used to reconstruct both actuator and sensor faults when the latter are transformed into pseudo-actuator faults by introducing a simple filter. The main contribution is to develop a sliding mode observer (SMO) with two discontinuous terms to solve the problem of simultaneous faults. Sufficient stability conditions in terms linear matrix inequalities are achieved to guarantee the stability of the state estimation error. The observer gains are obtained by solving a convex multiobjective optimization problem. Simulation examples are given to illustrate the performance of the proposed observer.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2015, 25, 3; 547-559
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Comparision of Two Construction Algorithms for Takagi-Sugeno Fuzzy Models
Autorzy:
Nelles, O.
Fink, A.
Babuska, R.
Setnes, M.
Powiązania:
https://bibliotekanauki.pl/articles/911156.pdf
Data publikacji:
2000
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
modelowanie
identyfikacja
model rozmyty
turbosprężarka doładowująca
modeling
identification
Takagi-Sugeno fuzzy models
local linear models
turbocharger
Opis:
This paper compares two different approaches to the construction of Takagi-Sugeno fuzzy models from data. These models approximate nonlinear systems by means of interpolation between local linear models. The main issue in the construction of Takagi-Sugeno models is the decomposition of the operating space into validity regions for the local models. The way this decomposition is done influences the complexity, accuracy and transparency of the obtained model. The first of the presented methods, the local linear model tree (LOLIMOT) algorithm generates incrementally the fuzzy model by axis-orthogonal decomposition of the input space. In the other method, product-space fuzzy clustering (the Gustafson-Kessel algorithm) is used to partition the available data into fuzzy subsets. The fundamental advantages and drawbacks of both the alternative strategies are pointed out. Their properties and real-world applicability are illustrated by building a dynamic model of a truck Diesel engine turbocharger.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2000, 10, 4; 835-855
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
On choosing the fuzziness parameter for identifying TS models with multidimensional membership functions
Autorzy:
Kroll, A.
Powiązania:
https://bibliotekanauki.pl/articles/91761.pdf
Data publikacji:
2011
Wydawca:
Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:
fuzzy clustering
structure/fuzzy partitioning
Takagi-Sugeno fuzzy models
TS fuzzy models
fuzziness parameter m
fuzzy classifier
Opis:
Fuzzy clustering is a well-established method for identifying the structure/fuzzy partitioning of Takagi-Sugeno (TS) fuzzy models. The clustering algorithms require choosing the fuzziness parameter m. Prior work in the area of pattern recognition shows, that a suitable choice of m is application- dependent. Yet, the default of m=2 is commonly chosen. This paper examines the suitable choice of m for identifying TS models. The focus is on models that use the classifiers resulting from fuzzy clustering as multi-dimensional membership functions or their projection and approximation. At first, the differentiability and grouping properties of the fuzzy classifiers are analyzed to make a general recommendation of choosing m(1;3). Besides, the effect of the cluster number c on the classification fuzziness is examined. Finally, requirements that are specific to TS modeling are introduced, which narrow down the suitable range for m. Building on algorithm analysis and four case studies (function approximation, a vehicle engine and an axial compressor application for nonlinear regression), it is demonstrated that choosing m2(1;1.3) for local and m2(1;1.5) for global estimation will typically provide for good results.
Źródło:
Journal of Artificial Intelligence and Soft Computing Research; 2011, 1, 4; 283-300
2083-2567
2449-6499
Pojawia się w:
Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Fuzzy adaptive control of a class of MISO nonlinear systems
Autorzy:
Lagrat, I.
Ouakka, H.
Boutnhidi, I.
Powiązania:
https://bibliotekanauki.pl/articles/971004.pdf
Data publikacji:
2008
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
identyfikacja
sterowanie adaptacyjne
układ nieliniowy
MISO systems
identification
fuzzy clustering
Takagi-Sugeno fuzzy model
adaptive control
nonlinear system
Opis:
This paper presents a fuzzy adaptive control of a class of MISO nonlinear systems. The dynamic behaviour of each MISO systems is composed of a nonlinear term, interactions effect between the inputs, and disturbances. In these circumstances, adaptive control becomes very difficult to implement and not always an evident task. Thus, the MISO system is approximated by the Takagi-Sugeno fuzzy model. The advantage of this approximation is beneficial in the sense that it allows for converting the nonlinear problem into a linear one. In this respect, the coupling, nonlinearity and unmodeled dynamics are easily compensated. The identification and the control are conducted at the level of each local linear model based on fuzzy approach. The computational load and the complexity of nonlinear approach are reduced and permit wide applicability. The validity and the performance are tested numerically.
Źródło:
Control and Cybernetics; 2008, 37, 1; 177-190
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A novel robust H1 fuzzy state-feedback control design on nonlinear Markovian jump systems with time-varyin delay
Autorzy:
Assawinchaichote, W.
Powiązania:
https://bibliotekanauki.pl/articles/205767.pdf
Data publikacji:
2014
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
H∞ fuzzy control
Takagi-Sugeno (TS) fuzzy model
linear matrix inequalities (LMIs)
Markovian jump parameters
time-varying delay
Opis:
This paper considers the problem of designing a robust H∞ fuzzy state-feedback controller for a class of nonlinear Markovian jump systems with time-varying delay. A novel design methodology has been proposed for designing a controller that guarantees the L2-gain of the mapping from the exogenous input noise to the regulated output to be less than some prescribed value. Solutions to the problem are provided in terms of linear matrix inequalities. To illustrate the effectiveness of the design developed in this paper, a numerical example is also provided.
Źródło:
Control and Cybernetics; 2014, 43, 2; 227-248
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Relaxed formulation of the design conditions for Takagi-Sugeno fuzzy virtual actuators
Autorzy:
Filasova, A.
Krokavec, D.
Liscinsky, P.
Powiązania:
https://bibliotekanauki.pl/articles/229418.pdf
Data publikacji:
2016
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
nonlinear dynamic systems
Takagi-Sugeno fuzzy models
fault tolerant control
static output controllers
virtual actuators
linear matrix inequalities
Opis:
The H∞ norm approach to virtual actuators design, intended to Takagi-Sugeno fuzzy continuous-time systems, is presented in the paper. Using the second Ljapunov method, the design conditions are formulated in terms of linear matrix inequalities in adapted bounded real lemma structures. Related to the static output controller, and for systems under influence of single actuator faults, the design steps are revealed for a three-tank system plant.
Źródło:
Archives of Control Sciences; 2016, 26, 2; 199-221
1230-2384
Pojawia się w:
Archives of Control Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Stability analysis and H control of discrete T–S fuzzy hyperbolic systems
Autorzy:
Duan, R.
Li, J.
Zhang, Y.
Yang, Y.
Chen, G.
Powiązania:
https://bibliotekanauki.pl/articles/331173.pdf
Data publikacji:
2016
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
discrete T–S fuzzy hyperbolic model
parallel distributed compensation
positive diagonally dominant matrices
robust stability
model Takagi-Sugeno
kompensacja rozproszona
sterowanie odporne
Opis:
This paper focuses on the problem of constraint control for a class of discrete-time nonlinear systems. Firstly, a new discrete T–S fuzzy hyperbolic model is proposed to represent a class of discrete-time nonlinear systems. By means of the parallel distributed compensation (PDC) method, a novel asymptotic stabilizing control law with the “soft” constraint property is designed. The main advantage is that the proposed control method may achieve a small control amplitude. Secondly, for an uncertain discrete T–S fuzzy hyperbolic system with external disturbances, by the proposed control method, the robust stability and H performance are developed by using a Lyapunov function, and some sufficient conditions are established through seeking feasible solutions of some linear matrix inequalities (LMIs) to obtain several positive diagonally dominant (PDD) matrices. Finally, the validity and feasibility of the proposed schemes are demonstrated by a numerical example and a Van de Vusse one, and some comparisons of the discrete T–S fuzzy hyperbolic model with the discrete T–S fuzzy linear one are also given to illustrate the advantage of our approach.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2016, 26, 1; 133-145
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
T–S fuzzy BIBO stabilisation of non-linear systems under persistent perturbations using fuzzy Lyapunov functions and non-PDC control laws
Autorzy:
Salcedo, José V.
Martínez, Miguel
García-Nieto, Sergio
Hilario, Adolfo
Powiązania:
https://bibliotekanauki.pl/articles/330030.pdf
Data publikacji:
2020
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
linear matrix inequalities
Takagi–Suegno fuzzy system
fuzzy Lyapunov function
integral delayed Lyapunov function
nonparallel distributed fuzzy controller
generalised inescapable ellipsoids
liniowe nierówności macierzowe
model rozmyty Takagi-Sugeno
funkcja Lapunowa
Opis:
This paper develops an innovative approach for designing non-parallel distributed fuzzy controllers for continuous-time non-linear systems under persistent perturbations. Non-linear systems are represented using Takagi–Sugeno fuzzy models. These non-PDC controllers guarantee bounded input bounded output stabilisation in closed-loop throughout the computation of generalised inescapable ellipsoids. These controllers are computed with linear matrix inequalities using fuzzy Lyapunov functions and integral delayed Lyapunov functions. LMI conditions developed in this paper provide non-PDC controllers with a minimum ⋆-norm (upper bound of the 1-norm) for the T–S fuzzy system under persistent perturbations. The results presented in this paper can be classified into two categories: local methods based on fuzzy Lyapunov functions with guaranteed bounds on the first derivatives of membership functions and global methods based on integral-delayed Lyapunov functions which are independent of the first derivatives of membership functions. The benefits of the proposed results are shown through some illustrative examples.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2020, 30, 3; 529-550
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Intelligent PI controller and its application to dissolved oxygen tracking problem
Autorzy:
Zubowicz, T.
Brdys, M. A.
Piotrowski, R.
Powiązania:
https://bibliotekanauki.pl/articles/384365.pdf
Data publikacji:
2010
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
aeration process
artificial intelligence
control systems
dissolved oxygen
tracking problem
fuzzy logic controller
genetic algorithms
intelligent control
Takagi Sugeno Kang method
TSK
soft switching
wastewater treatment
Opis:
The paper addresses design, calibration, implementation and simulation of the intelligent PI controller used for dissolved oxygen (DO) tracking at wastewater treatment plant (WWTP). The calibration process presented in this paper utilizes both engineering and scientific methods. Verification of the control system design method was obtained via simulation experiments.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2010, 4, 3; 16-24
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A new fuzzy Lyapunov approach to non-quadratic stabilization of Takagi-Sugeno fuzzy models
Autorzy:
Abdelmalek, I.
Goléa, N.
Hadjili, M. L.
Powiązania:
https://bibliotekanauki.pl/articles/911242.pdf
Data publikacji:
2007
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
liniowe nierówności macierzowe
stabilizacja
funkcja Lapunowa
model Takagi-Sugeno
system rozmyty
T-S fuzzy systems
non-quadratic stability conditions
linear matrix inequalities
parallel distributed compensation
stabilization
Opis:
In this paper, new non-quadratic stability conditions are derived based on the parallel distributed compensation scheme to stabilize Takagi-Sugeno (T-S) fuzzy systems. We use a non-quadratic Lyapunov function as a fuzzy mixture of multiple quadratic Lyapunov functions. The quadratic Lyapunov functions share the same membership functions with the T-S fuzzy model. The stability conditions we propose are less conservative and stabilize also fuzzy systems which do not admit a quadratic stabilization. The proposed approach is based on two assumptions. The first one relates to a proportional relation between multiple Lyapunov functions and the second one considers an upper bound to the time derivative of the premise membership functions. To illustrate the advantages of our proposal, four examples are given.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2007, 17, 1; 39-51
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Residual generator fuzzy identification for automotive diesel engine fault diagnosis
Autorzy:
Simani, S.
Powiązania:
https://bibliotekanauki.pl/articles/329740.pdf
Data publikacji:
2013
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
fault detection
fault isolation
analytical redundancy
Takagi–Sugeno fuzzy prototypes
residual generator fuzzy modelling and identification
real diesel engine
detekcja uszkodzeń
lokalizacja uszkodzeń
redundancja analityczna
silnik Diesla
Opis:
Safety in dynamic processes is a concern of rising importance, especially if people would be endangered by serious system failure. Moreover, as the control devices which are now exploited to improve the overall performance of processes include both sophisticated control strategies and complex hardware (input-output sensors, actuators, components and processing units), there is an increased probability of faults. As a direct consequence of this, automatic supervision systems should be taken into account to diagnose malfunctions as early as possible. One of the most promising methods for solving this problem relies on the analytical redundancy approach, in which residual signals are generated. If a fault occurs, these residual signals are used to diagnose the malfunction. This paper is focused on fuzzy identification oriented to the design of a bank of fuzzy estimators for fault detection and isolation. The problem is treated in its different aspects covering the model structure, the parameter identification method, the residual generation technique, and the fault diagnosis strategy. The case study of a real diesel engine is considered in order to demonstrate the effectiveness the proposed methodology.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2013, 23, 2; 419-438
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
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