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Decentralized Control for Large-Scale Systems with Uncertain Missing Measurements Probabilities

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  • Ying Zhou
  • Qiang Zang
  • Chunxia Fan

Abstract

For large-scale systems which are modeled as interconnection of networked control systems with uncertain missing measurements probabilities, a decentralized state feedback controller design is considered in this paper. The occurrence of missing measurements is assumed to be a Bernoulli random binary switching sequence with an unknown conditional probability distribution in an interval. A state feedback controller is designed in terms of linear matrix inequalities to make closed-loop system exponentially mean square stable and a prescribed performance is guaranteed. Sufficient conditions are derived for the existence of such controller. A numerical example is also provided to demonstrate the validity of the proposed design approach.

Suggested Citation

  • Ying Zhou & Qiang Zang & Chunxia Fan, 2015. "Decentralized Control for Large-Scale Systems with Uncertain Missing Measurements Probabilities," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-10, October.
    • Handle: RePEc:hin:jnlmpe:379390
    DOI: 10.1155/2015/379390
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