Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

English (EN)·Polski (PL)·Yкраїнський (UK)
Przejdź do strony domowej biblioteki Centralna Biblioteka Wojskowa Link otwiera się w nowym oknie Logo biblioteki Prolib Integro - strona głównaCentralna Biblioteka Wojskowa

Wyszukujesz frazę "Takagi-Sugeno" wg kryterium: Temat

  Lista filtrów
Wyrównaj
Wyświetlanie 1-15 z 33
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:
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:
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:
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:
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:
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:
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:
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:
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:
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:
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:
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:
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
Wyświetlanie 1-15 z 33

Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies