Autor:
Tzafestas, Spyros G. ; Kyriannakis, Efthimios ; Anthopoulos, Yiannis
Współtwórca:
Korbicz, Józef (1951- ) - red. ; Uciński, Dariusz - red.
Tytuł:
Model-based predictive control of large-scale systems using a neural estimator
Tytuł publikacji grupowej:
Temat i słowa kluczowe:
sterowanie ; sterowanie-teoria ; sztuczna inteligencja ; matematyka stosowana ; informatyka
Abstract:
An approach to the design of discrete-time decentralized control systems based on model-based predictive control (MBPC) and neural estimation is proposed. The class of interconnected large-scale systems (LSS) is considered, and a model is used at each control station to predict the corresponding subsystem output over a long time period. ; In the case of subsystems with m-step delay information patterns the non-locally available interaction trajectories are estimated by a multi-layer neural network trained on-line with a modified backpropagation-type algorithm. Representative computer simulation results are provided and compared for a set of illustrative examples. The proposed control scheme shows better performance than the other schemes, and also covers the important case where the subsystems' interactions are nonlinear.
Wydawca:
Zielona Góra: Uniwersytet Zielonogórski
Data wydania:
Typ zasobu:
Strony:
Źródło:
AMCS, volume 8, number 3 (1998) ; kliknij tutaj, żeby przejść