Paper Info
Title
Stability analysis and dynamic output feedback control for fuzzy networked control systems with mixed time-varying delays and interval distributed time-varying delays
Abstract
This paper addresses the stability analysis and dynamic output feedback control for a class of T–S fuzzy networked control systems with mixed time-varying delays and interval distributed time-varying delays. Firstly, the T–S fuzzy model is employed to approximate the networked control system based on the system model. Secondly, the dynamic output feedback controller with hybrid intermittent feedback control law is designed for the T–S fuzzy networked control system. Thirdly, the delay-dependent stability conditions are derived by introducing the Lyapunov functional with Leibniz–Newton formula. Compared with previous works, both the mixed time-varying delays and interval distributed time-varying delays are considered in the T–S fuzzy networked control system. The control design conditions are relaxed because of the proposed controller. By introducing the Lyapunov functional with Leibniz–Newton formula, the linear matrix inequalities are solved effectively by the standard convex optimization algorithm. Finally, the simulation examples and some computing results are given to show the effectiveness and advantage of the proposed method, respectively.
Year
DOI
Venue
2020
10.1007/s00521-019-04204-x
Neural Computing and Applications
Keywords
DocType
Volume
Stability analysis, Lyapunov functional, T–S fuzzy model, LMIs, Mixed time-varying delays, Distributed time-varying delays
Journal
32
Issue
ISSN
Citations 
11
0941-0643
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Wei Zheng155.21
Zhi-Ming Zhang233.75
hongbin wang3119.05
Shuhuan Wen45411.14
Hongrui-Wang511.76
Hongrui Wang624.78