Output feedback control of nonlinear systems under unreliable communication links via T-S fuzzy models

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

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Author(s)

Detail(s)

Original languageEnglish
Title of host publication2010 8th IEEE International Conference on Control and Automation, ICCA 2010
Pages2036-2041
Publication statusPublished - 2010
Externally publishedYes

Conference

Title8th IEEE International Conference on Control and Automation (IEEE ICCA 2010)
PlaceChina
CityXiamen
Period9 - 11 June 2010

Abstract

This paper investigates the problem of robust H output feedback control for a class of nonlinear systems under unreliable communication links. The nonlinear plant is represented by a Takagi-Sugeno (T-S) uncertain fuzzy model. The communication links between the plant and controller are assumed to be imperfect, that is, data packet dropouts occur intermittently, which is often the case in a network environment. Stochastic variables satisfying the Bernoulli random binary distribution are adopted to characterize the data missing phenomenon. Attention is focused on the design of a piecewise static output feedback controller such that the closed-loop system is stochastically stable with a guaranteed H performance. Based on a piecewise Lyapunnov function combined with some novel convexifying techniques, the developed theoretical results are in the form of linear matrix inequalities. Finally, a simulation example is also provided to illustrate the effectiveness and less conservatism of the proposed approaches. © 2010 IEEE.

Citation Format(s)

Output feedback control of nonlinear systems under unreliable communication links via T-S fuzzy models. / Qiu, Jianbin; Feng, Gang; Gao, Huijun.
2010 8th IEEE International Conference on Control and Automation, ICCA 2010. 2010. p. 2036-2041 5524219.

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review