4.5 Article

Fuzzy Filtering for a Class of Nonlinear Systems with Feedback Uncertainties

Journal

INTERNATIONAL JOURNAL OF FUZZY SYSTEMS
Volume 18, Issue 3, Pages 395-404

Publisher

SPRINGER HEIDELBERG
DOI: 10.1007/s40815-015-0074-8

Keywords

Nonlinear systems; T-S fuzzy systems; Feedback uncertainties; H-infinity filtering; Linear matrix inequalities (LMIs)

Funding

  1. National Natural Science Foundation of China [61104071]
  2. Program for Liaoning Excellent Talents in University, China [LJQ2012095]
  3. Open Program of the Key Laboratory of Manufacturing Industrial Integrated Automation, Shenyang University, China [1120211415]

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This paper studies the problem of H-infinity filtering for nonlinear uncertain systems. The parameter uncertainties are assumed to be a class of feedback uncertainties. The nonlinear plant is represented by a Takagi-Sugeno fuzzy model. The paper is focused on the design of a fuzzy filter guaranteeing a prescribed H-infinity performance of the filtering error system. By introducing some slack matrix variables, a sufficient condition for the H-infinity filter design is presented in terms of solutions to a set of linear matrix inequalities. A simulation example will be given to show the efficiency of the proposed method.

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