L α fuzzy filter for non-linear systems with intermittent measurement and persistent bounded disturbances

Sun Young Noh, Jin Bae Park, Young Hoon Joo

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

This study is concerned with an L8 filtering problem for non-linear systems with persistent bounded disturbances and intermittent measurements. The non-linear plant is represented by the Takagi-Sugeno (T-S) fuzzy model that is employed to approximate the non-linear dynamic systems. The system measurements may be unavailable at any sample time and the probability of the occurrence of missing data is assumed to be known. In this study, to design the L α fuzzy filter with the estimation error, the estimation error because of persistent bounded disturbance is minimised by some linear matrix inequalities and the filter error system is stochastically stable in the mean square. A stochastic variable satisfying the Bernoulli random binary distribution is utilised to model the phenomenon of the missing data. Finally, the results indicate that the proposed method attenuates the peak of estimation error and preserves a guaranteed L α -gain performance.

Original languageEnglish
Pages (from-to)489-496
Number of pages8
JournalIET Radar, Sonar and Navigation
Volume7
Issue number5
DOIs
Publication statusPublished - 2013 Aug 20

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Fuzzy filters
Error analysis
Nonlinear systems
Linear matrix inequalities
Dynamical systems

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Cite this

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L α fuzzy filter for non-linear systems with intermittent measurement and persistent bounded disturbances . / Noh, Sun Young; Park, Jin Bae; Joo, Young Hoon.

In: IET Radar, Sonar and Navigation, Vol. 7, No. 5, 20.08.2013, p. 489-496.

Research output: Contribution to journalArticle

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