Event-Based Adaptive Fuzzy Tracking Control for High-Order Nonlinear Time-Delay Systems

被引：0
|
作者：
Xing, Jing-Wen [1 ]
Peng, Chen [1 ]
机构：
[1] Shanghai Univ, Sch Mechatron Engn & Automat, Dept Automat, Shanghai, Peoples R China
来源：
IFAC PAPERSONLINE | 2021年 / 54卷 / 18期
基金：
中国国家自然科学基金;
关键词：
Nonlinear time-delay; event-triggered; fuzzy logical systems; adaptive tracking; STABILIZATION; STABILITY;
D O I：
10.1016/j.ifacol.2021.11.139
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 paper investigates event-based adaptive fuzzy tracking control for high-order nonlinear time-delay systems. A novel power-integrator adaptive fuzzy tracking controller is constructed based event-triggering rules. Meanwhile, combining the backstepping design approach and a serial of transformations equipped with an improved integral Lyapunov function which guarantees the tracking error converges to a small neighborhood of the origin in probability. Finally, a simulation example is presented to illustrate the effectiveness of the control strategy. Copyright (C) 2021 The Authors.
引用
收藏
页码：198 / 203
页数：6
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