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Stabilization for a class of nonlinear networked control systems via polynomial fuzzy model approach — Hongyi Li (2014) | RDL Network
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Stabilization for a class of nonlinear networked control systems via polynomial fuzzy model approach
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Hamid Reza Karimi
Politecnico di Milano
Stabilization for a class of nonlinear networked control systems via polynomial fuzzy model approach
Complexity 21(2): 74-81
Article
2014
English
Authors
+1 more
HL
Hongyi Li
ZC
Ziran Chen
YS
Yiyong Sun
Abstract
1 min read
This article is concerned with the stabilization problem for nonlinear networked control systems which are represented by polynomial fuzzy models. Two communication features including signal transmission delays and data missing are taken into account in a network environment. To solve the network‐induced communication problems, a novel sampled‐data fuzzy controller is designed to guarantee that the closed‐loop system is asymptotically stable. The stability and stabilization conditions are presented in terms of sum of squares (SOS), which can be numerically solved via SOSTOOLS. Finally, a simulation example is provided to demonstrate the feasibility of the proposed method. © 2014 Wiley Periodicals, Inc. Complexity 21: 74–81, 2015
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