Adaptive Fuzzy Tracking Control for Stochastic Nonlinear Systems with Nonstrict-Feedback and Dead Zone

This paper focuses on the adaptive fuzzy tracking control problem for a class of stochastic nonlinear systems with nonstrict-feedback structure and dead zone input. By introducing fuzzy logic system, the difficulties caused by unknown nonlinear functions and nonstrict-feedback are overcome. Consider...

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Bibliographic Details
Published in:International journal of fuzzy systems 2021-10, Vol.23 (7), p.2324-2334
Main Authors: Lian, Yuxiao, Xia, Jianwei, Yang, Wenjing, Wang, Xueliang, Wang, Linqi
Format: Article
Language:English
Subjects:
Adaptive control
Artificial Intelligence
Closed loops
Computational Intelligence
Controllers
Coordinate transformations
Engineering
Feedback control
Fuzzy control
Fuzzy logic
Inequality
Management Science
Neural networks
Nonlinear control
Nonlinear systems
Operations Research
Reference signals
Stochastic systems
Tracking control
Tracking errors
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Summary:This paper focuses on the adaptive fuzzy tracking control problem for a class of stochastic nonlinear systems with nonstrict-feedback structure and dead zone input. By introducing fuzzy logic system, the difficulties caused by unknown nonlinear functions and nonstrict-feedback are overcome. Considering the asymmetric dead zone input, an adaptive tracking controller is constructed by integrating the fuzzy logic system into the backstepping technology. The controller can not only realize the output signal tracking reference signal with a small tracking error, but also ensure that all signals in the closed-loop system are bounded in probability. Finally, an example is proposed to demonstrate the effectiveness of the proposed control scheme.
ISSN:1562-2479
2199-3211
DOI:10.1007/s40815-021-01106-w