An observer-based approach to adaptive tracking for switched strict-feedback nonlinear systems with state quantization and sensor faults

被引:0
|
作者
Chen, Chen [1 ]
Li, Jinghao [1 ]
Wang, Huimin [1 ]
机构
[1] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110819, Peoples R China
基金
中国国家自然科学基金;
关键词
Adaptive backstepping; Dwell time; State quantization; Switched nonlinear system; Sensor faults; BACKSTEPPING CONTROL; UNCERTAIN SYSTEMS; STABILIZATION;
D O I
10.1016/j.jfranklin.2024.107309
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 the adaptive tracking problems of switched single-input single-output strict-feedback nonlinear systems with state quantization and sensor faults. In order to alleviate the influence of the potential sensor faults and smooth the discontinuous quantized signals, a state observer is established. Then, an observer-based adaptive quantized fault-tolerant controller is designed by introducing a set of new error variables. It is shown that the presented approach can enable the output tracking error to be arbitrarily small. At last, three examples are given to illustrate the effectiveness of the presented method.
引用
收藏
页数:14
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