Compensation for Quantized Input Control Systems With Impulsive Extend State Observer

被引：0

作者：

Liu Xinwei ^{[1
]}

Zhang Jinhui ^{[2
]}

Huang Ran ^{[1
]}

机构：

[1] Beijing Univ Chem Technol, Coll Informat Sci & Technol, Beijing 100029, Peoples R China

[2] Tianjin Univ, Sch Elect Engn & Automat, Tianjin 300072, Peoples R China

来源：

PROCEEDINGS OF THE 35TH CHINESE CONTROL CONFERENCE 2016 | 2016年

关键词：

Networked Control Systems (NCSs); Quantization; Extend State Observer (ESO); Impulsive Systems; LIMITED COMMUNICATION CAPACITY; LINEAR-SYSTEMS; NONLINEAR-SYSTEMS; FEEDBACK-CONTROL; DESIGN; STABILIZATION; CONSTRAINTS; VALIDITY; MODEL;

D O I：

暂无

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 considers quantized input feedback control of linear systems, and investigates how to attenuate the effects of quantization error. Our main objective is to find an effective estimation strategy which can accurately compensate the quantization errors. Based on the property of quantization, the impulsive extend state observer is proposed to our best knowledge. Analyses of both state-feedback and observer-based control systems are considered by means of impulsive control theory and other techniques. The stability conditions of closed-loop system are given in corresponding sections. Finally, we give some numerical examples to illustrate the effectiveness and applicability of the proposed approaches.

引用

页码：7285 / 7290

页数：6

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