Title
On the model-based networked control for singularly perturbed systems with nonlinear uncertainties
Abstract
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.
Year
DOI
Venue
2009
10.1109/CDC.2009.5400103
Systems & Control Letters
Keywords
DocType
Volume
Singularly perturbed systems,Model-based networked control,Robustly stable
Conference
60
Issue
ISSN
ISBN
9
0191-2216 E-ISBN : 978-1-4244-3872-3
978-1-4244-3872-3
Citations 
PageRank 
References 
3
0.55
4
Authors
3
Name
Order
Citations
PageRank
hongwang yu130.55
Guoping Lu224323.37
Yufan Zheng39112.83