NDLI: Fuzzy-model-based stabilization of nonlinear networked control systems

Content Provider	IEEE Xplore Digital Library
Author	Jianan Huang Bing Tang Defeng He Yun Zhang
Copyright Year	2014
Description	Author affiliation: Sch. of Autom., Guangdong Univ. of Technol., Guangzhou, China (Jianan Huang; Bing Tang; Defeng He; Yun Zhang)
Abstract	This paper is concerned with fuzzy-model based stabilization of nonlinear networked control systems (NCSs) with time-varying transmission delays and transmission intervals based on a random-delay approach. The real-time distribution of input delays resulting from transmission delays and intervals is modeled as a dependent and nonidentically distributed process. Then a randomly switched Takagi-Sugeno fuzzy system with multiple input-delay subsystems is proposed to model the nonlinear NCSs. Based on an improved Lyapunov-Krasovskii method, which takes into account the real-time distribution of input delays in estimating cross-product integral terms, new sufficient conditions are deriveed for the exponential stability of the overall systems. The resulting controller design method is equivalent to a nonlinear convex optimization problem with LMI constraints. Numerical examples are presented to substantiate the effectiveness of our results.
Starting Page	898
Ending Page	905
File Size	214196
Page Count	8
File Format	PDF
ISBN	9781479937073
e-ISBN	9781479937080
DOI	10.1109/CCDC.2014.6852291
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-05-31
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	random-delay approach Networked control systems Switches Networked control system Takagi-Sugeno fuzzy model Real-time systems Stability analysis Delays Takagi-Sugeno model
Content Type	Text
Resource Type	Article

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