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    Wyświetlanie 1-13 z 13
    Tytuł:
    Design of the state predictive model following control system with time-delay
    Autorzy:
    Wang, D.
    Wu, S.
    Okubo, S.
    Powiązania:
    https://bibliotekanauki.pl/articles/907660.pdf
    Data publikacji:
    2009
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    sterowanie predykcyjne
    opóźnienie
    kontrola przeciążeń
    state predictive control
    time delay
    model following control system (MFCS)
    TCP/AQM network
    congestion control
    Opis:
    Time-delay systems exist in many engineering fields such as transportation systems, communication systems, process engineering and, more recently, networked control systems. It usually results in unsatisfactory performance and is frequently a source of instability, so the control of time-delay systems is practically important. In this paper, a design of the state predictive model following control system (PMFCS) with time-delay is discussed. The bounded property of the internal states for the control is given, and the utility of this control design is guaranteed. Finally, examples are given to illustrate the effectiveness of the proposed method, and state predictive control techniques are applied to congestion control synthesis problems for a TCP/AQM network.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2009, 19, 2; 247-254
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Efficient nonlinear predictive control based on structured neural models
    Autorzy:
    Ławryńczuk, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/907652.pdf
    Data publikacji:
    2009
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    sterowanie procesami
    sterowanie predykcyjne
    sieć neuronowa
    optymalizacja
    linearyzacja
    process control
    model predictive control
    neuron network
    optimisation
    linearisation
    Opis:
    This paper describes structured neural models and a computationally efficient (suboptimal) nonlinear Model Predictive Control (MPC) algorithm based on such models. The structured neural model has the ability to make future predictions of the process without being used recursively. Thanks to the nature of the model, the prediction error is not propagated. This is particularly important in the case of noise and underparameterisation. Structured models have much better long-range prediction accuracy than the corresponding classical Nonlinear Auto Regressive with eXternal input (NARX) models. The described suboptimal MPC algorithm needs solving on-line only a quadratic programming problem. Nevertheless, it gives closed-loop control performance similar to that obtained in fully-fledged nonlinear MPC, which hinges on online nonconvex optimisation. In order to demonstrate the advantages of structured models as well as the accuracy of the suboptimal MPC algorithm, a polymerisation reactor is studied.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2009, 19, 2; 233-246
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A hybrid control strategy for a dynamic scheduling problem in transit networks
    Autorzy:
    Liu, Zhongshan
    Yu, Bin
    Zhang, Li
    Wang, Wensi
    Powiązania:
    https://bibliotekanauki.pl/articles/2172126.pdf
    Data publikacji:
    2022
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    service reliability
    transit network
    proactive control method
    deep reinforcement learning
    hybrid control strategy
    niezawodność usług
    sieć tranzytowa
    uczenie głębokie
    kontrola hybrydowa
    Opis:
    Public transportation is often disrupted by disturbances, such as the uncertain travel time caused by road congestion. Therefore, the operators need to take real-time measures to guarantee the service reliability of transit networks. In this paper, we investigate a dynamic scheduling problem in a transit network, which takes account of the impact of disturbances on bus services. The objective is to minimize the total travel time of passengers in the transit network. A two-layer control method is developed to solve the proposed problem based on a hybrid control strategy. Specifically, relying on conventional strategies (e.g., holding, stop-skipping), the hybrid control strategy makes full use of the idle standby buses at the depot. Standby buses can be dispatched to bus fleets to provide temporary or regular services. Besides, deep reinforcement learning (DRL) is adopted to solve the problem of continuous decision-making. A long short-term memory (LSTM) method is added to the DRL framework to predict the passenger demand in the future, which enables the current decision to adapt to disturbances. The numerical results indicate that the hybrid control strategy can reduce the average headway of the bus fleet and improve the reliability of bus service.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2022, 32, 4; 553--567
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A linear programming methodology for approximate dynamic programming
    Autorzy:
    Díaz, Henry
    Sala, Antonio
    Armesto, Leopoldo
    Powiązania:
    https://bibliotekanauki.pl/articles/330082.pdf
    Data publikacji:
    2020
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    linear programming
    approximate dynamic programming
    control applications
    neural network
    programowanie liniowe
    programowanie dynamiczne
    sieć neuronowa
    Opis:
    The linear programming (LP) approach to solve the Bellman equation in dynamic programming is a well-known option for finite state and input spaces to obtain an exact solution. However, with function approximation or continuous state spaces, refinements are necessary. This paper presents a methodology to make approximate dynamic programming via LP work in practical control applications with continuous state and input spaces. There are some guidelines on data and regressor choices needed to obtain meaningful and well-conditioned value function estimates. The work discusses the introduction of terminal ingredients and computation of lower and upper bounds of the value function. An experimental inverted-pendulum application will be used to illustrate the proposal and carry out a suitable comparative analysis with alternative options in the literature.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2020, 30, 2; 363-375
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Neuro-adaptive cooperative control for high-order nonlinear multi-agent systems with uncertainties
    Autorzy:
    Peng, Cheng
    Zhang, Anguo
    Li, Junyu
    Powiązania:
    https://bibliotekanauki.pl/articles/2055174.pdf
    Data publikacji:
    2021
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    multiagent system
    radial basis function
    RBF neural network
    sliding mode control
    cooperative control
    system wieloagentowy
    radialna funkcja bazowa
    sieć neuronowa RBF
    sterowanie ślizgowe
    Opis:
    The consensus problem for a class of high-order nonlinear multi-agent systems (MASs) with external disturbance and system uncertainty is studied. We design an online-update radial basis function (RBF) neural network based distributed adaptive control protocol, where the sliding model control method is also applied to eliminate the influence of the external disturbance and system uncertainty. System consensus is verified by using the Lyapunov stability theorem, and sufficient conditions for cooperative uniform ultimately boundedness (CUUB) are also derived. Two simulation examples demonstrate the effectiveness of the proposed method for both homogeneous and heterogeneous MASs.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2021, 31, 4; 635--645
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Input constraints handling in an MPC/feedback linearization scheme
    Autorzy:
    Deng, J.
    Becerra, V. M.
    Stobart, R.
    Powiązania:
    https://bibliotekanauki.pl/articles/907653.pdf
    Data publikacji:
    2009
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    sterowanie predykcyjne
    sterowanie odwrotne
    sieć neuronowa
    system nieliniowy
    predictive control
    feedback linearization
    neural network
    nonlinear system
    constraints
    Opis:
    The combination of model predictive control based on linear models (MPC) with feedback linearization (FL) has attracted interest for a number of years, giving rise to MPC+FL control schemes. An important advantage of such schemes is that feedback linearizable plants can be controlled with a linear predictive controller with a fixed model. Handling input constraints within such schemes is difficult since simple bound contraints on the input become state dependent because of the nonlinear transformation introduced by feedback linearization. This paper introduces a technique for handling input constraints within a real timeMPC/FL scheme, where the plant model employed is a class of dynamic neural networks. The technique is based on a simple affine transformation of the feasible area. A simulated case study is presented to illustrate the use and benefits of the technique.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2009, 19, 2; 219-232
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Adaptive control scheme based on the least squares support vector machine network
    Autorzy:
    Mahmoud, T. K.
    Powiązania:
    https://bibliotekanauki.pl/articles/930155.pdf
    Data publikacji:
    2011
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    modelowanie systemu
    system nieliniowy
    system sterowania
    sieć neuronowa
    maszyna wektorów wspierających
    support vector machine (SVM)
    neural network
    nonlinear system modeling
    nonlinear system control
    pH control
    Opis:
    Recently, a new type of neural networks called Least Squares Support Vector Machines (LS-SVMs) has been receiving increasing attention in nonlinear system identification and control due to its generalization performance. This paper develops a stable adaptive control scheme using the LS-SVM network. The developed control scheme includes two parts: the identification part that uses a modified structure of LS-SVM neural networks called the multi-resolution wavelet least squares support vector machine network (MRWLS-SVM) as a predictor model, and the controller part that is developed to track a reference trajectory. By means of the Lyapunov stability criterion, stability analysis for the tracking errors is performed. Finally, simulation studies are performed to demonstrate the capability of the developed approach in controlling a pH process.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2011, 21, 4; 685-696
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Fault tolerance in networked control systems under intermittent observations
    Autorzy:
    Georges, J. P.
    Theilliol, D.
    Cocquempot, V.
    Ponsart, J. C.
    Aubrun, C.
    Powiązania:
    https://bibliotekanauki.pl/articles/930171.pdf
    Data publikacji:
    2011
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    przeciążenie sieci
    sterowanie odporne na błędy
    diagnostyka uszkodzeń
    system sieciowy
    model wielokrotny
    network congestion
    fault tolerant control
    fault diagnosis
    networked control system
    interacting multiple model
    Opis:
    This paper presents an approach to fault tolerant control based on the sensor masking principle in the case of wireless networked control systems. With wireless transmission, packet losses act as sensor faults. In the presence of such faults, the faulty measurements corrupt directly the behaviour of closed-loop systems. Since the controller aims at cancelling the error between the measurement and its reference input, the real outputs will, in such a networked control system, deviate from the desired value and may drive the system to its physical limitations or even to instability. The proposed method facilitates fault compensation based on an interacting multiple model approach developed in the framework of channel errors or network congestion equivalent to multiple sensors failures. The interacting multiple model method involved in a networked control system provides simultaneously detection and isolation of on-line packet losses, and also performs a suitable state estimation. Based on particular knowledge of packet losses, sensor fault-tolerant controls are obtained by computing a new control law using fault-free estimation of the faulty element to avoid intermittent observations that might develop into failures and to minimize the effects on system performance and safety.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2011, 21, 4; 639-648
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Reliability-aware zonotopic tube-based model predictive control of a drinking water network
    Autorzy:
    Khoury, Boutrous
    Nejjari, Fatiha
    Puig, Vicenç
    Powiązania:
    https://bibliotekanauki.pl/articles/2124779.pdf
    Data publikacji:
    2022
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    fault tolerant control
    robust MPC
    zonotopes
    Bayesian theory
    drinking water network
    sterowanie tolerujące uszkodzenia
    zonotopy
    teoria bayesowska
    sieć wody pitnej
    Opis:
    A robust economic model predictive control approach that takes into account the reliability of actuators in a network is presented for the control of a drinking water network in the presence of uncertainties in the forecasted demands required for the predictive control design. The uncertain forecasted demand on the nominal MPC may make the optimization process intractable or, to a lesser extent, degrade the controller performance. Thus, the uncertainty on demand is taken into account and considered unknown but bounded in a zonotopic set. Based on this uncertainty description, a robust MPC is formulated to ensure robust constraint satisfaction, performance, stability as well as recursive feasibility through the formulation of an online tube-based MPC and an accompanying appropriate terminal set. Reliability is then modelled based on Bayesian networks, such that the resulting nonlinear function accommodated in the optimization setup is presented in a pseudo-linear form by means of a linear parameter varying representation, mitigating any additional computational expense thanks to the formulation as a quadratic optimization problem. With the inclusion of a reliability index to the economic dominant cost of the MPC, the network users’ requirements are met whilst ensuring improved reliability, therefore decreasing short and long term operational costs for water utility operators. Capabilities of the designed controller are demonstrated with simulated scenarios on the Barcelona drinking water network.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2022, 32, 2; 197--211
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Fault diagnosis of networked control systems
    Autorzy:
    Aubrun, C.
    Sauter, D.
    Yamé, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/929885.pdf
    Data publikacji:
    2008
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    sterowanie siecią
    system sterowania
    diagnostyka uszkodzeń
    sterowanie odporne na błędy
    straty pakietów
    komunikacja ograniczona
    networked control systems
    fault diagnosis
    fault tolerant control
    network-induced time delays
    packet losses
    limited communication
    Opis:
    Networked Control Systems (NCSs) deal with feedback control systems with loops closed via data communication networks. Control over a network has many advantages compared with traditionally controlled systems, such as a lower implementation cost, reduced wiring, simpler installation and maintenance and higher reliability. Nevertheless, the network-induced delay, packet dropout, asynchronous behavior and other specificities of networks will degrade the performance of closed-loop systems. In this context, it is necessary to develop a new theory for systems that operate in a distributed and asynchronous environment. Research on Fault Detection and Isolation (FDI) for NCSs has received increasing attention in recent years. This paper reviews the state of the art in this topic.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2008, 18, 4; 525-537
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Integrated fault-tolerant control of a quadcopter UAV with incipient actuator faults
    Autorzy:
    Kantue, Paulin
    Pedro, Jimoh O.
    Powiązania:
    https://bibliotekanauki.pl/articles/2172129.pdf
    Data publikacji:
    2022
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    fault tolerant control
    quadrocopter
    incipient actuator fault
    radial basis function
    neural network
    sterowanie tolerujące uszkodzenia
    kwadrokopter
    radialna funkcja bazowa
    sieć neuronowa
    Opis:
    An integrated approach to the fault-tolerant control (FTC) of a quadcopter unmanned aerial vehicle (UAV) with incipient actuator faults is presented. The framework is comprised of a radial basis function neural network (RBFNN) fault detection and diagnosis (FDD) module and a reconfigurable flight controller (RFC) based on the extremum seeking control approach. The dynamics of a quadcopter subject to incipient actuator faults are estimated using a nonlinear identification method comprising a continuous forward algorithm (CFA) and a modified golden section search (GSS) one. A time-difference-of-arrival (TDOA) method and the post-fault system estimates are used within the FDD module to compute the fault location and fault magnitude. The impact of bi-directional uncertainty and FDD detection time on the overall FTC performance and system recovery is assessed by simulating a quadcopter UAV during a trajectory tracking mission and is found to be robust against incipient actuator faults during straight and level flight and tight turns.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2022, 32, 4; 601--617
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Reliability-based economic model predictive control for generalised flow-based networks including actuators’ health-aware capabilities
    Autorzy:
    Grosso, J. M.
    Ocampo-Martinez, C.
    Puig, V.
    Powiązania:
    https://bibliotekanauki.pl/articles/330080.pdf
    Data publikacji:
    2016
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    model predictive control
    flow based network
    dynamic safety stocks
    actuator health
    service reliability
    chance constraints
    economic optimisation
    sterowanie predykcyjne
    niezawodność serwisu
    optymalizacja ekonomiczna
    Opis:
    This paper proposes a reliability-based economic model predictive control (MPC) strategy for the management of generalized flow-based networks, integrating some ideas on network service reliability, dynamic safety stock planning, and degradation of equipment health. The proposed strategy is based on a single-layer economic optimisation problem with dynamic constraints, which includes two enhancements with respect to existing approaches. The first enhancement considers chance-constraint programming to compute an optimal inventory replenishment policy based on a desired risk acceptability level, leading to dynamical allocation of safety stocks in flow-based networks to satisfy non-stationary flow demands. The second enhancement computes a smart distribution of the control effort and maximises actuators’ availability by estimating their degradation and reliability. The proposed approach is illustrated with an application of water transport networks using the Barcelona network as the case study considered.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2016, 26, 3; 641-654
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Transient flow in gas networks: Traveling waves
    Autorzy:
    Gugat, M.
    Wintergerst, D.
    Powiązania:
    https://bibliotekanauki.pl/articles/331492.pdf
    Data publikacji:
    2018
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    traveling wave
    isothermal Euler equations
    compressibility factor
    gas network
    blow-up
    optimal control
    fala wędrująca
    równania Eulera
    współczynnik ściśliwości
    sieć gazowa
    sterowanie optymalne
    Opis:
    In the context of gas transportation, analytical solutions are helpful for the understanding of the underlying dynamics governed by a system of partial differential equations. We derive traveling wave solutions for the one-dimensional isothermal Euler equations, where an affine linear compressibility factor is used to describe the correlation between density and pressure. We show that, for this compressibility factor model, traveling wave solutions blow up in finite time. We then extend our analysis to networks under appropriate coupling conditions and derive compatibility conditions for the network nodes such that the traveling waves can travel through the nodes. Our result allows us to obtain an explicit solution for a certain optimal boundary control problem for the pipeline flow.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2018, 28, 2; 341-348
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-13 z 13

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