Dynamic-Gain-Based Adaptive Fuzzy Control for Uncertain Delayed Non-triangular Switched Nonlinear Systems

被引：0
|
作者：
Liu, Zhen-Guo [1 ]
Zhao, Ya-Zhu [1 ]
Sun, Wei [2 ]
Xue, Lingrong [3 ]
机构：
[1] Shanxi Univ, Sch Automat & Software Engn, Taiyuan 030006, Peoples R China
[2] Liaocheng Univ, Sch Math Sci, Liaocheng 252000, Shandong, Peoples R China
[3] Shanxi Univ Finance & Econ, Sch Informat, Taiyuan 030006, Peoples R China
来源：
INTERNATIONAL JOURNAL OF FUZZY SYSTEMS | 2022年 / 24卷 / 8期
基金：
中国国家自然科学基金; 中国博士后科学基金;
关键词：
Delayed systems; Uncertainty; Adaptive regulation; L-K functional; FEEDBACK-CONTROL; STABILIZATION; DESIGN;
D O I：
10.1007/s40815-022-01360-6
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This work studies the adaptive issue of nonlinear switched system with state delays. Different from the reported works, the research is more challenging since the system is in non-triangular form and has multiple uncertainties such as unmodeled dynamic, unknown parameters, and unknown coefficients. By presenting a dynamic-gain-based adaptive fuzzy regulation strategy, and constructing a novel Lyapunov-Krasovskii (L-K) functional, a new robust adaptive controller is successfully designed. The raised strategy is validated using a simulation example.
引用
收藏
页码：3745 / 3755
页数：11
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