Robust adaptive decentralized fuzzy control for stochastic large-scale nonlinear systems with dynamical uncertainties

2012 ◽  
Vol 97 ◽  
pp. 33-43 ◽  
Author(s):  
Tong Wang ◽  
Shaocheng Tong ◽  
Yongming Li
Keyword(s):  
Nonlinear Systems ◽  
Fuzzy Control ◽  
Large Scale ◽  
Robust Adaptive

scholarly journals Robust Adaptive Fuzzy Control via State-Dependent Function for Nonlinear Stochastic Large-Scale Systems Subject to Dead Zones

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Chang-Qi Zhu ◽  
Lei Liu
Keyword(s):  
Fuzzy Control ◽  
Large Scale ◽  
Dead Zone ◽  
Adaptive Fuzzy Control ◽  
Closed Loop System ◽  
Large Scale Systems ◽  
Adaptive Fuzzy ◽  
State Dependent ◽  
Control Scheme ◽  
Robust Adaptive

This paper concentrates on the adaptive fuzzy control problem for stochastic nonlinear large-scale systems with constraints and unknown dead zones. By introducing the state-dependent function, the constrained closed-loop system is transformed into a brand-new system without constraints, which can realize the same control objective. Then, fuzzy logic systems (FLSs) are used to identify the unknown nonlinear functions, the dead zone inverse technique is utilized to compensate for the dead zone effect, and a robust adaptive fuzzy control scheme is developed under the backstepping frame. Based on the Lyapunov stability theory, it is proved ultimately that all signals in the closed-loop system are bounded and the tracking errors converge to a small neighborhood of the origin. Finally, an example based on an actual system is given to verify the effectiveness of the proposed control scheme.

H∞ tracking-based decentralized hybrid adaptive output feedback fuzzy control for a class of large-scale nonlinear systems

2011 ◽  
Vol 171 (1) ◽  
pp. 72-92 ◽  
Author(s):  
Yi-Shao Huang ◽  
Dong-Sheng Xiao ◽  
Xiao-Xin Chen ◽  
Qi-Xin Zhu ◽  
Zheng-Wu Wang
Keyword(s):  
Nonlinear Systems ◽  
Fuzzy Control ◽  
Output Feedback ◽  
Large Scale
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