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H∞ Control for Network‐Based 2D Systems with Missing Measurements

Author

Listed:
  • Bu Xuhui
  • Wang Hongqi
  • Zheng Zheng
  • Qian Wei

Abstract

The problem of H∞ control for network‐based 2D systems with missing measurements is considered. A stochastic variable satisfying the Bernoulli random binary distribution is utilized to characterize the missing measurements. Our attention is focused on the design of a state feedback controller such that the closed‐loop 2D stochastic system is mean‐square asymptotic stability and has an H∞ disturbance attenuation performance. A sufficient condition is established by means of linear matrix inequalities (LMIs) technique, and formulas can be given for the control law design. The result is also extended to more general cases where the system matrices contain uncertain parameters. Numerical examples are also given to illustrate the effectiveness of proposed approach.

Suggested Citation

  • Bu Xuhui & Wang Hongqi & Zheng Zheng & Qian Wei, 2014. "H∞ Control for Network‐Based 2D Systems with Missing Measurements," Abstract and Applied Analysis, John Wiley & Sons, vol. 2014(1).
  • Handle: RePEc:wly:jnlaaa:v:2014:y:2014:i:1:n:786128
    DOI: 10.1155/2014/786128
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    References listed on IDEAS

    as
    1. Yilin Wang & Zhengrong Xiang & Hamid Reza Karimi, 2013. "Observer‐Based H∞ Control Design for Nonlinear Networked Control Systems with Limited Information," Abstract and Applied Analysis, John Wiley & Sons, vol. 2013(1).
    2. Yilin Wang & Zhengrong Xiang & Hamid Reza Karimi, 2013. "Observer-Based Control Design for Nonlinear Networked Control Systems with Limited Information," Abstract and Applied Analysis, Hindawi, vol. 2013, pages 1-9, September.
    3. Xuhui Bu & Fashan Yu & Ziyi Fu & Fuzhong Wang, 2013. "Stability Analysis of High‐Order Iterative Learning Control for a Class of Nonlinear Switched Systems," Abstract and Applied Analysis, John Wiley & Sons, vol. 2013(1).
    4. Xuhui Bu & Fashan Yu & Ziyi Fu & Fuzhong Wang, 2013. "Stability Analysis of High-Order Iterative Learning Control for a Class of Nonlinear Switched Systems," Abstract and Applied Analysis, Hindawi, vol. 2013, pages 1-13, July.
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