Paper Info
Title
Input-to-state stability for networked control systems via an improved impulsive system approach
Abstract
This paper presents a novel impulsive system approach to input-to-state stability (ISS) analysis of networked control systems (NCSs) with time-varying sampling intervals and delays. This approach is based upon the new idea that an NCS can be viewed as an interconnected hybrid system composed of an impulsive subsystem and an input delay subsystem. A new type of time-varying discontinuous Lyapunov-Krasovskii functional, which makes full use of the information on the piecewise-constant input and the bounds of the network delays, is introduced to analyze the ISS property of NCSs. Linear matrix inequality based sufficient conditions are derived for ISS of NCSs with respect to external disturbances. When applied to the approximate tracking problem for NCSs, the derived ISS result provides bounds on the steady-state tracking error. Numerical examples are provided to show the efficiency of the proposed approach.
Year
DOI
Venue
2011
10.1016/j.automatica.2011.01.050
Automatica
Keywords
Field
DocType
Networked control systems (NCSs),Impulsive systems,Time-delay systems,Input-to-state stability (ISS)
Control theory,Control engineering,Sampling (statistics),Control system,Hybrid system,Linear matrix inequality,Mathematics,Tracking error
Journal
Volume
Issue
ISSN
47
4
0005-1098
Citations 
PageRank 
References 
18
0.76
15
Authors
2
Name
Order
Citations
PageRank
Wu-Hua Chen186958.24
Wei Xing Zheng24266274.73