Event-Triggered Sliding Mode Control of Uncertain Switched Systems via Hybrid Quantized Feedback

被引:43
|
作者
Lian, Jie [1 ]
Li, Can [2 ,3 ]
机构
[1] Dalian Univ Technol, Key Lab Intelligent Control & Optimizat Ind Equip, Minist Educ, Dalian 116024, Peoples R China
[2] Jiangsu Normal Univ, Sch Elect Engn & Automat, Xuzhou 221116, Jiangsu, Peoples R China
[3] Dalian Univ Technol, Key Lab Intelligent Control & Optimizat Ind Equip, Minist Educ, Dalian 116024, Peoples R China
基金
美国国家科学基金会;
关键词
Quantization (signal); Switches; Switched systems; Uncertainty; Sliding mode control; Vehicle dynamics; Dynamic quantization; event-triggered sampling; sliding mode control; uncertain switched systems; LINEAR-SYSTEMS; NONLINEAR-SYSTEMS; ROBUST STABILITY; STABILIZATION; OUTPUT; INPUT;
D O I
10.1109/TAC.2020.3009199
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 article is concerned with the sliding mode control (SMC) for stabilizing a switched linear system with external disturbances and uncertain nonlinearities. The state sampling is implemented by an event-triggered mechanism (ETM) and the sampled data are transmitted through a limited-bandwidth digital channel. The main challenge of such a work comes from the quantizer saturation and quantization error in the SMC design with finite-level quantization and the mismatched control caused by the switch and event-triggered sampling. To solve the above problem, we at first present an ETM and a limited-information-based SMC law. Then, a new discrete-time level-sets method is proposed to develop the dynamic quantization policy (DQP). If the disturbance bound is known, the DQP can avoid the quantizer saturation without the need of online detection. A switching law and quantization parameter conditions are provided to ensure the convergence of the state trajectory. At last, the result is generalized to the unknown bound of disturbance. The limited-information control problem of a single-link manipulator is taken as a potential application of the proposed method.
引用
收藏
页码:2809 / 2816
页数:8
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