Fuzzy Adaptive Output Constrained Control for SISO Switched Nonlinear Systems in Pure Feedback Form

被引：0
作者：
Li Yongming [1 ]
Tong Shaocheng [1 ]
Sui Shuai [1 ]
机构：
[1] Liaoning Univ Technol, Dept Basic Math, Jinzhou 121001, Peoples R China
来源：
2015 34TH CHINESE CONTROL CONFERENCE (CCC) | 2015年
关键词：
Switched nonlinear systems; fuzzy adaptive control; pure feedback form; output constraint; NEURAL-CONTROL; STABILIZATION; 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：
A fuzzy adaptive tracking control problem is investigated for a class of single input and single output (SISO) uncertain switched nonlinear systems in pure feedback form and under arbitrary switchings. In the control design, fuzzy logic systems are used to identify the unknown nonlinear switched system, and the adaptive fuzzy output tracking controller and parameter adaptive laws are determinate based on the backstepping control technique. To address output constraint, a barrier Lyapunov function is employed. The obtained strategy can guarantee that all the variables in the closed-loop system are bounded, and the tracking error converges to a neighborhood of zero. Simulation results demonstrate the effectiveness of the proposed approach.
引用
收藏
页码：435 / 440
页数：6
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