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Peak-to-peak filtering for periodic piecewise linear polytopic systems

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  • Chenchen Fan
  • James Lam
  • Xiaochen Xie

Abstract

In this paper, the robust peak-to-peak filtering problem for periodic piecewise systems with polytopic uncertainties is investigated. Attention is focused on designing of robust peak-to-peak filters that guarantee the robust asymptotic stability of periodic piecewise filtering error system and satisfy a prescribed peak-to-peak disturbance attenuation level for all admissible uncertainties. A sufficient condition is proposed for robust stability and peak-to-peak performance by employing the constructed time-varying Lyapunov function. Two design approaches based on the Lyapunov function with parameter-dependent matrices and parameter-independent matrices are utilised to solve this problem. An algorithm is proposed to compute the periodic filter parameters governed by non-convex feasibility conditions. Two numerical examples are presented to demonstrate the effectiveness of the proposed techniques.

Suggested Citation

  • Chenchen Fan & James Lam & Xiaochen Xie, 2018. "Peak-to-peak filtering for periodic piecewise linear polytopic systems," International Journal of Systems Science, Taylor & Francis Journals, vol. 49(9), pages 1997-2011, July.
    • Handle: RePEc:taf:tsysxx:v:49:y:2018:i:9:p:1997-2011
    DOI: 10.1080/00207721.2018.1482381
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