Fault Detection for Uncertain Fuzzy Systems: An LMI Approach

  title={Fault Detection for Uncertain Fuzzy Systems: An LMI Approach},
  author={Sing Kiong Nguang and Peng Shi and Steven X. Ding},
  journal={IEEE Transactions on Fuzzy Systems},
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… CONTINUE READING
Highly Cited
This paper has 250 citations. REVIEW CITATIONS
105 Citations
42 References
Similar Papers


Publications citing this paper.
Showing 1-10 of 105 extracted citations

250 Citations

Citations per Year
Semantic Scholar estimates that this publication has 250 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-10 of 42 references

Reduction of false alarms in fault detection problems

  • N. F. Chowdhury, B. Jiang, C. M. Belcastro
  • Int. J. Innov. Comput., Inf. Control, vol. 2, no…
  • 2006

H filtering for fuzzy dynamical systems with D stability constraints

  • S. K. Nguang, W. Assawinchaichote
  • IEEE Trans. Circuits Syst. I, vol. 50, pp. 1503…
  • 2003
1 Excerpt

Fuzzy observer-based controller design for singularly perturbed nonlinear systems: An LMI approach

  • W. Assawinchaichote, S. K. Nguang
  • Proc. IEEE Decision Control, 2002, pp. 2165–2170.
  • 2002

Similar Papers

Loading similar papers…