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Analysis and design of robust estimation filter for a class of continuous-time nonlinear systems

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  • Ke Zhang
  • Bin Jiang
  • Marcel Staroswiecki

Abstract

This article addresses the design of a multiconstrained robust estimation filter (MREF) for a class of continuous-time nonlinear systems in the presence of input and output disturbances. By constructing an augmented system, the MREF achieves the estimation of both states and faults, under existence conditions that are less restrictive than those associated with existing adaptive fault diagnosis observer (AFDO) and sliding mode observer design. Moreover, a detailed discussion on and comparison with the AFDO design are given. Furthermore, by introducing slack variables, improved results on MREF design are obtained such that different Lyapunov functions can be separately designed for multiple constraints. Simulation results are presented to illustrate our contributions.

Suggested Citation

  • Ke Zhang & Bin Jiang & Marcel Staroswiecki, 2012. "Analysis and design of robust estimation filter for a class of continuous-time nonlinear systems," International Journal of Systems Science, Taylor & Francis Journals, vol. 43(10), pages 1958-1968.
    • Handle: RePEc:taf:tsysxx:v:43:y:2012:i:10:p:1958-1968
    DOI: 10.1080/00207721.2011.563873
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