Adaptive Control for Stochastic Nonlinear Systems with Dead Zone Output

被引：0
作者：
Liu, Yanli [1 ]
Kang, Haobo [2 ]
Ma, Hongjun [3 ]
机构：
[1] Dalian Maritime Univ, Sch Marine Elect Engn, Dalian 116026, Liaoning, Peoples R China
[2] Chinese Acad Sci, Shenyang Inst Automat, Shenyang 110016, Liaoning, Peoples R China
[3] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110819, Liaoning, Peoples R China
来源：
2021 PROCEEDINGS OF THE 40TH CHINESE CONTROL CONFERENCE (CCC) | 2021年
关键词：
Dead Zone Output; Tracking Constraint; Stochastic Systems; Fuzzy Logic Systems (FLSs); Nussbaum-type Function; BARRIER LYAPUNOV FUNCTIONS; TRACKING CONTROL; PRESCRIBED PERFORMANCE; FEEDBACK-SYSTEMS; SWITCHED SYSTEMS; STABILITY; ACTUATOR; 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：
The design of a tracking-constrained-based adaptive controller for a class of stochastic nonlinear systems with dead zone output is developed in this study. In order to deal with the tracking error constraint, a stochastic Barrier Lyapunov function (BLF) is utilized to the adaptive fuzzy backstepping control design. And the Nussbaum-type function is introduced to compensate for the influence of dead zone output. Finally, all the closed-loop signals are remain bounded with the convergence of the tracking error is ensured by the developed controller, and the constraint is satisfied. A simulation example verifies the effectiveness of the control strategy obtained.
引用
收藏
页码：1077 / 1082
页数：6
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