Decentralized adaptive fuzzy control for nonlinear large-scale systems with random packet dropouts, sensor delays and nonlinearities

2018 ◽  
Vol 344 ◽  
pp. 90-107 ◽  
Author(s):  
Ding Zhai ◽  
Liwei An ◽  
Jiuxiang Dong ◽  
Qingling Zhang
Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Chang-Qi Zhu ◽  
Lei Liu

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.


2012 ◽  
Vol 43 (6) ◽  
pp. 1133-1145 ◽  
Author(s):  
Yi-Shao Huang ◽  
Xiaoxin Chen ◽  
Shao-Wu Zhou ◽  
Ling-Li Yu ◽  
Zheng-Wu Wang

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