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Finite-Frequency Filter Design for Networked Control Systems with Missing Measurements

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  • Dan Ye
  • Yue Long
  • Guang-Hong Yang

Abstract

This paper is concerned with the problem of robust filter design for networked control systems (NCSs) with random missing measurements. Different from existing robust filters, the proposed one is designed in finite-frequency domain. With consideration of possible missing data, the NCSs are first modeled to Markov jump systems (MJSs). A finite-frequency stochastic performance is subsequently given that extends the standard performance, and then a sufficient condition guaranteeing the system to be with such a performance is derived in terms of linear matrix inequality (LMI). With the aid of this condition, a procedure of filter synthesis is proposed to deal with noises in the low-, middle-, and high-frequency domains, respectively. Finally, an example about the lateral-directional dynamic model of the NASA High Alpha Research Vehicle (HARV) is carried out to illustrate the effectiveness of the proposed method.

Suggested Citation

  • Dan Ye & Yue Long & Guang-Hong Yang, 2013. "Finite-Frequency Filter Design for Networked Control Systems with Missing Measurements," Mathematical Problems in Engineering, Hindawi, vol. 2013, pages 1-8, June.
    • Handle: RePEc:hin:jnlmpe:825143
    DOI: 10.1155/2013/825143
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