Fault Detection for Uncertain Fuzzy Systems: An LMI Approach

  • Authors:
  • Sing Kiong Nguang;Peng Shi;S. Ding

  • Affiliations:
  • Auckland Univ., Auckland;-;-

  • Venue:
  • IEEE Transactions on Fuzzy Systems
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper studies the problem of designing a robust fault-detection system for uncertain Takagi-Sugeno fuzzy models. The worst case fault sensitivity measure is formulated in terms of linear matrix inequalities. The existence of a robust fault detection system that guarantees i) the L2-gain from a fault signal to a residual signal greater than a prescribed value and ii) the L2-gain from an exogenous input to a residual signal less than a prescribed value is given in terms of the solvability of linear matrix inequalities. Numerical examples are used to illustrate the effectiveness of the proposed design techniques.