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Fuzzy adaptive-predictive decentralized control of discrete time interconnected systems

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Proposes an approach for the design of discrete-time decentralized control systems with m-step delay sharing information pattern, employing model-based predictive control (MBPC) combined with fuzzy prediction for the interconnections among the subsystems. A state space model is used at each control station to predict the corresponding subsystem output over a long-range time period. The interaction trajectories are considered to be non-linear functions of the states of the subsystems. For all cases the interconnections and the necessary predictions for them are estimated by an appropriate adaptive fuzzy identifier based on the generation of linguistic IF-THEN rules and the on-line construction of a common fuzzy rule base. Representative computer simulation results are provided and compared for nontrivial example systems.
Czasopismo
Rocznik
Strony
5--24
Opis fizyczny
Bibliogr. 25 poz.
Twórcy
autor
  • National Technical Univeristy of Athens, Department of Electrical and Computer Engineering, Division of Signals, Control and Robotics, Zagraphou 15773, Athens, Greece
  • National Technical Univeristy of Athens, Department of Electrical and Computer Engineering, Division of Signals, Control and Robotics, Zagraphou 15773, Athens, Greece
  • National Technical Univeristy of Athens, Department of Electrical and Computer Engineering, Division of Signals, Control and Robotics, Zagraphou 15773, Athens, Greece
Bibliografia
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPW4-0002-0073
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