Qing-Yu Su, Yan-Cheng Li, Xing-Ze Dai and Jian Li. Fault Detection for a Class of Impulsive Switched Systems. International Journal of Automation and Computing, vol. 11, no. 2, pp. 223-230, 2014. https://doi.org/10.1007/s11633-014-0784-7
Citation: Qing-Yu Su, Yan-Cheng Li, Xing-Ze Dai and Jian Li. Fault Detection for a Class of Impulsive Switched Systems. International Journal of Automation and Computing, vol. 11, no. 2, pp. 223-230, 2014. https://doi.org/10.1007/s11633-014-0784-7

Fault Detection for a Class of Impulsive Switched Systems

doi: 10.1007/s11633-014-0784-7
Funds:

This work was supported by Northeast Dianli University (Nos.BSJXM09 and BSJXM10).

  • Received Date: 2013-06-05
  • Rev Recd Date: 2013-09-30
  • Publish Date: 2014-04-01
  • The problem of fault detection for a class of nonlinear impulsive switched systems is investigated in this paper. Fault detection filters are designed such that the augmented systems are stable, and the residual error signal generated by the filters guarantees the H performance for disturbances and faults. Sufficient conditions for the design of fault detection (FD) filters are presented by linear matrix inequalities. Moreover, the filter gains are characterized according to a solution of a convex optimization. Finally, an example derived from a pulse-width-modulation-driven boost converter is given to illustrate the effectiveness of the FD design approach.

     

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