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Observer‐based fuzzy adaptive optimal control for nonlinear continuous‐time saturation interconnected systems
Author(s) -
Wang Tiechao,
Tong Shaocheng
Publication year - 2018
Publication title -
optimal control applications and methods
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.458
H-Index - 44
eISSN - 1099-1514
pISSN - 0143-2087
DOI - 10.1002/oca.2409
Subject(s) - control theory (sociology) , fuzzy logic , nonlinear system , fuzzy control system , computer science , adaptive control , observer (physics) , bounded function , state observer , optimal control , controller (irrigation) , control engineering , mathematics , mathematical optimization , control (management) , engineering , artificial intelligence , physics , quantum mechanics , agronomy , biology , mathematical analysis
Summary A fuzzy adaptive optimal output‐feedback control problem is investigated for nonlinear continuous‐time interconnected systems with saturation constraints. The system dynamics and the mismatched interconnections of each subsystem are unknown, and each subsystem contains unavailable states. Based on fuzzy logic systems, a fuzzy state observer is designed to approximate the unknown system states and the interconnections of the nonlinear interconnected system. By using adaptive dynamic programming technology, the decentralized optimal controller of each subsystem is given and the saturation control input is updated via the critic fuzzy logic systems. The proposed fuzzy adaptive observer‐based optimal control scheme can guarantee that the closed‐loop interconnected system is ultimately uniformly bounded stable. A simulation example validates the effectiveness of the presented scheme.