Integral Barrier Lyapunov function-based adaptive control for switched nonlinear systems

被引：0
|
作者：
Lei LIU [1 ]
Yan-Jun LIU [1 ]
Aiqing CHEN [1 ]
Shaocheng TONG [1 ]
C.L.Philip CHEN [2 ,3 ]
机构：
[1] College of Science, Liaoning University of Technology
[2] Computer Science and Engineering, South China University of Technology
[3] Navigation College, Dalian Maritime University
来源：
Science China(Information Sciences) | 2020年 / 63卷 / 03期
基金：
中国国家自然科学基金;
关键词：
adaptive control; switched nonlinear systems; integral Barrier Lyapunov functions; backstepping technique; full state constraints;
D O I：
暂无
中图分类号：
TP273.2 [];
学科分类号：
080201 ; 0835 ;
摘要：
This paper presents an adaptive control method for a class of uncertain strict-feedback switched nonlinear systems. First, we consider the constraint characteristics in the switched nonlinear systems to ensure that all states in switched systems do not violate the constraint ranges. Second, we design the controller based on the backstepping technique, while integral Barrier Lyapunov functions(i BLFs) are adopted to solve the full state constraint problems in each step in order to realize the direct constraints on state variables.Furthermore, we introduce the Lyapunov stability theory to demonstrate that the adaptive controller achieves the desired control goals. Finally, we perform a numerical simulation, which further verifies the significance and feasibility of the presented control scheme.
引用
收藏
页码：212 / 225
页数：14
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