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Probability-Dependent Static Output Feedback Control for Discrete-Time Nonlinear Stochastic Systems with Missing Measurements

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  • Wangyan Li
  • Guoliang Wei
  • Licheng Wang

Abstract

This paper is devoted to the problems of gain-scheduled control for a class of discrete-time stochastic systems with infinite-distributed delays and missing measurements by utilizing probability-dependent Lyapunov functional. The missing-measurement phenomenon is assumed to occur in a random way, and the missing probability is time varying with securable upper and lower bounds that can be measured in real time. The purpose is to design a static output feedback controller with scheduled gains such that, for the admissible random missing measurements, time delays, and noises, the closed-loop system is exponentially mean-square stable. At last, a simulation example is exploited to illustrate the effectiveness of the proposed design procedures.

Suggested Citation

  • Wangyan Li & Guoliang Wei & Licheng Wang, 2012. "Probability-Dependent Static Output Feedback Control for Discrete-Time Nonlinear Stochastic Systems with Missing Measurements," Mathematical Problems in Engineering, Hindawi, vol. 2012, pages 1-15, September.
    • Handle: RePEc:hin:jnlmpe:696742
    DOI: 10.1155/2012/696742
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