Decentralized Adaptive Fuzzy Controller Design for Uncertain Large-Scale Systems with Unknown Dead-Zone

2007 ◽  
Author(s):  
Chiang-Cheng Chiang ◽  
Wen-Hsien Lu
Keyword(s):  
Large Scale ◽  
Fuzzy Controller ◽  
Controller Design ◽  
Dead Zone ◽  
Large Scale Systems ◽  
Adaptive Fuzzy Controller ◽  
Adaptive Fuzzy

Adaptive fuzzy controller design for dynamic positioning ship integrating prescribed performance

2021 ◽  
Vol 219 ◽  
pp. 107956
Author(s):  
Yuanhui Wang ◽  
Haibin Wang ◽  
Mingyang Li ◽  
Duansong Wang ◽  
Mingyu Fu
Keyword(s):  
Fuzzy Controller ◽  
Controller Design ◽  
Dynamic Positioning ◽  
Adaptive Fuzzy Controller ◽  
Prescribed Performance ◽  
Adaptive Fuzzy

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.

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