Adaptive Fuzzy Decentralized Control for Nonstrict Feedback Nonlinear Systems With Unmodeled Dynamics

An adaptive fuzzy decentralized control algorithm is developed in this article for interconnected nonlinear large-scale systems with unmodeled dynamics. This method is proposed by applying a fuzzy logic system (FLS) to identify unknown nonlinear functions. In addition, dynamic signals are introduced...

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Veröffentlicht in:	IEEE transactions on systems, man, and cybernetics. Systems man, and cybernetics. Systems, 2022-01, Vol.52 (1), p.275-286
Hauptverfasser:	Bi, Wenshan, Wang, Tong
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive control Algorithms Control algorithms Control theory Decentralized control dynamic signals Dynamical systems Feedback control fuzzy adaptive control Fuzzy control Fuzzy logic Heuristic algorithms large-scale nonlinear systems Liapunov functions Nonlinear dynamical systems Nonlinear systems nonstrict feedback systems Output feedback Signal processing State feedback State observers unmodeled dynamics
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