On the Model-Based Networked Control for Singularly Perturbed Systems with Nonlinear Uncertainties

被引：4
|
作者：
Yu, Hongwang [1 ]
Zhang, Xiaomei [2 ]
Lu, Guoping [3 ]
Zheng, Yufan [4 ]
机构：
[1] Nanjing Audit Univ, Sch Math & Stat, Nanjing 211815, Jiangsu, Peoples R China
[2] Nantong Univ, Sch Sci, Nantong 226007, Jiangsu, Peoples R China
[3] Nantong Univ, Sch Elect Engn, Nantong 226019, Jiangsu, Peoples R China
[4] Shanghai Univ, Dept Math, Shanghai 200436, Peoples R China
来源：
PROCEEDINGS OF THE 48TH IEEE CONFERENCE ON DECISION AND CONTROL, 2009 HELD JOINTLY WITH THE 2009 28TH CHINESE CONTROL CONFERENCE (CDC/CCC 2009) | 2009年
基金：
中国国家自然科学基金;
关键词：
STABILITY; DESIGN;
D O I：
10.1109/CDC.2009.5400103
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The model-based networked control for a class of singularly perturbed control systems with nonlinear uncertainties is addressed in this paper. The approximate slow and fast systems of the plant, which are obtained by omitting the nonlinear uncertainties, are used as a model to estimate the state behavior of the plant between transmission times. The stability of model-based networked control systems is investigated under the assumption that the controller/actuator is updated with the sensor information at constant time intervals. It is shown that there exists the allowable upper bound of the singular perturbation parameter such that the model-based networked control system is global exponentially stable.
引用
收藏
页码：684 / 689
页数：6
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