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New results on robust filtering design for continuous-time nonlinear systems via T-S fuzzy affine dynamic models

  • Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper is concerned with designing a fuzzy robust H filter for a class of continuous-time nonlinear systems via Takagi-Sugeno (T-S) fuzzy affine dynamic models based on piecewise Lyapunov functions. Attention is focused on the analysis and design of an admissible full-order filter such that the filtering error dynamics is stochastically stable and a prescribed H attenuation level is guaranteed. It is assumed that the plant premise variables are not measurable so that the filter implementation with state space partition may not be synchronous with the state trajectories of the plant. Based on piecewise quadratic Lyapunov functions (PQLFs) combined with S-procedure and some matrix inequality linearization techniques, some new results are established for filtering design of the underling continuous-time T-S fuzzy affine systems. An examples is given to illustrate the effectiveness and applicability of the proposed design methods.

Original languageEnglish
Title of host publication2012 12th International Conference on Control, Automation, Robotics and Vision, ICARCV 2012
PublisherIEEE Computer Society
Pages1220-1225
Number of pages6
ISBN (Print)9781467318716
DOIs
StatePublished - 2012
Event12th International Conference on Control Automation Robotics and Vision, ICARCV 2012 - Guangzhou, China
Duration: 5 Dec 20127 Dec 2012

Publication series

Name2012 12th International Conference on Control, Automation, Robotics and Vision, ICARCV 2012

Conference

Conference12th International Conference on Control Automation Robotics and Vision, ICARCV 2012
Country/TerritoryChina
CityGuangzhou
Period5/12/127/12/12

Keywords

  • Piecewise quadratic Lyapunov functions
  • T-S fuzzy affine systems
  • filtering design

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