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Robust Decentralized Adaptive Fuzzy Control of Large‐Scale Nonaffine Nonlinear Systems With Strong Interconnection and Application to Automated Highway Systems
Author(s) -
Wang Zhengwu,
Huang YiShao
Publication year - 2019
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1002/asjc.1834
Subject(s) - control theory (sociology) , nonlinear system , fuzzy logic , a priori and a posteriori , controller (irrigation) , decentralised system , computer science , interconnection , fuzzy control system , control engineering , scale (ratio) , robust control , class (philosophy) , engineering , control (management) , artificial intelligence , computer network , philosophy , physics , epistemology , quantum mechanics , agronomy , biology
A novel decentralized adaptive fuzzy controller is developed for a class of large‐scale uncertain nonaffine nonlinear systems in this paper. Incorporating the benefits of fuzzy systems, implicit function theorem, and robust control technique, the interconnections between subsystems are extended to general unknown nonlinear functions. No a priori knowledge of lower and upper bounds on lumped uncertainties is required to implement each local controller. The resulting closed‐loop large‐scale system is proved to be asymptotically stable. The controller design is applicable to an automated highway system and simulation results confirm its practical usefulness.