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Analysis of Iterative Learning Control for a Class of Linear Discrete‐Time Switched Systems

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  • Xuan Yang
  • Xiaoe Ruan

Abstract

An iterative learning control scheme is applied to a class of linear discrete‐time switched systems with arbitrary switching rules. The application is based on the assumption that the switched system repetitively operates over a finite time interval. By taking advantage of the super vector approach, convergence is discussed when noise is free and robustness is analyzed when the controlled system is disturbed by bounded noise. The analytical results manifest that the iterative learning control algorithm is feasible and effective for the linear switched system. To support the theoretical analysis, numerical simulations are made.

Suggested Citation

  • Xuan Yang & Xiaoe Ruan, 2015. "Analysis of Iterative Learning Control for a Class of Linear Discrete‐Time Switched Systems," Abstract and Applied Analysis, John Wiley & Sons, vol. 2015(1).
    • Handle: RePEc:wly:jnlaaa:v:2015:y:2015:i:1:n:464175
    DOI: 10.1155/2015/464175
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    References listed on IDEAS

    as
    1. 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).
    2. 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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