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Optimal Tracking Performance of MIMO Discrete-Time Systems with Network Parameters

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  • Chao-Yang Chen
  • Weihua Gui
  • Zhi-Hong Guan
  • Shaowu Zhou
  • Cailun Huang

Abstract

The optimal regulation properties of multi-input and multioutput (MIMO) discrete-time networked control systems (NCSs), over additive white Gaussian noise (AWGN) fading channels, based on state space representation, are investigated. The average performance index is introduced. Moreover, the regulation performance is measured by the control energy and the error energy of the system, and fundamental limitations are obtained. Two kinds of network parameters, fading and the additive white Gaussian noise, are considered. The best attainable regulation performance limitations can be obtained by the limiting steady state solution of the corresponding algebraic Riccati equation (ARE). The simulation results are given to demonstrate the main results of the theoretical development.

Suggested Citation

  • Chao-Yang Chen & Weihua Gui & Zhi-Hong Guan & Shaowu Zhou & Cailun Huang, 2016. "Optimal Tracking Performance of MIMO Discrete-Time Systems with Network Parameters," Discrete Dynamics in Nature and Society, Hindawi, vol. 2016, pages 1-7, August.
    • Handle: RePEc:hin:jnddns:6826130
    DOI: 10.1155/2016/6826130
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