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Content Provider | IEEE Xplore Digital Library |
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Author | Engang Tian Dong Yue Chen Peng |
Copyright Year | 2010 |
Description | Author affiliation: School of Electrical and Automation engineering, Nanjing Normal University, 210042, China (Engang Tian; Chen Peng) || Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan, China (Dong Yue) |
Abstract | A Delay-fractioning-dependent method is proposed to investigate the stability and stabilization for nonlinear networked control systems (NNCSs), which are presented in the form of T-S fuzzy model with time-varying input delay. Different from the existing method in dealing with the time-varying delay, the whole variation interval of the delay is divided into two subintervals with equal length. Respecting for the delay belonging to different subintervals, new criteria on stability analysis of the NNCSs are obtained by checking the variation of the derivative of the Lyapunov functional in the two subintervals. Then, criteria for the stability of the NNCSs are obtained by using the convexity properties of the matrix inequality and some other new analysis techniques, which are shown in terms of nonlinear matrix inequalities and can be solved by using a cone complementarity liberalization method. Numerical examples show that the proposed method can reduce the conservativeness greatly. |
Starting Page | 3771 |
Ending Page | 3776 |
File Size | 179547 |
Page Count | 6 |
File Format | |
ISBN | 9781424451814 |
DOI | 10.1109/CCDC.2010.5498503 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2010-05-26 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Networked control systems Delay effects Delay systems Communication system control Nonlinear control systems Stability analysis Linear matrix inequalities Robust control Fuzzy control Lyapunov functional Delay-Fractioning-Dependent Fuzzy systems Nonlinear Networked Control Systems |
Content Type | Text |
Resource Type | Article |
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