Adaptive Fuzzy Control for a Class of Nonlinear Time-Delay Systems

被引：0
|
作者：
Chen, Yizhu [1 ]
Shao, Liyuan [1 ]
Liu, Siwen [1 ]
Zhang, Yanlong [2 ]
Wang, Huanqing [1 ]
机构：
[1] Bohai Univ, Sch Math & Phys, Jinzhou 121000, Peoples R China
[2] Tieling Normal Coll, Coll Sci, Tieling, Liaoning, Peoples R China
来源：
PROCEEDINGS OF 2020 IEEE 9TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS'20) | 2020年
基金：
中国国家自然科学基金;
关键词：
Nonlinear systems; Fuzzy logic systems; Nonstrict-feedback; Backstepping; Time-delays; TRACKING CONTROL; NEURAL-CONTROL; DESIGN;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this work, the adaptive fuzzy tracking control problem is investigated for a class of uncertain nonstrict-feedback nonlinear systems accompanied time-delay terms and unknown virtual control coefficients. Within this scheme, fuzzy logic systems (FLSs) are utilized to approach to the uncertian nonlinear functions and the backstepping technique as well as Lyapunov stability theory are introduced to design the adaptive fuzzy controller. The amount of the online adaptive parameters of the control scheme does not exceed the order of the original system, which is the advantage of the scheme. The results show that the proposed adaptive fuzzy controller can ensure that all signals in the closed-loop system are bounded and the system output tracks the desired reference signals. Finally, the simulation results demonstrate the availability of our put forward control project.
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页码：1125 / 1130
页数：6
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