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Robust Monotonically Convergent Iterative Learning Control for Discrete‐Time Systems via Generalized KYP Lemma

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  • Jian Ding
  • Huizhong Yang

Abstract

This paper addresses the problem of P‐type iterative learning control for a class of multiple‐input multiple‐output linear discrete‐time systems, whose aim is to develop robust monotonically convergent control law design over a finite frequency range. It is shown that the 2 D iterative learning control processes can be taken as 1 D state space model regardless of relative degree. With the generalized Kalman‐Yakubovich‐Popov lemma applied, it is feasible to describe the monotonically convergent conditions with the help of linear matrix inequality technique and to develop formulas for the control gain matrices design. An extension to robust control law design against systems with structured and polytopic‐type uncertainties is also considered. Two numerical examples are provided to validate the feasibility and effectiveness of the proposed method.

Suggested Citation

  • Jian Ding & Huizhong Yang, 2014. "Robust Monotonically Convergent Iterative Learning Control for Discrete‐Time Systems via Generalized KYP Lemma," Abstract and Applied Analysis, John Wiley & Sons, vol. 2014(1).
  • Handle: RePEc:wly:jnlaaa:v:2014:y:2014:i:1:n:450241
    DOI: 10.1155/2014/450241
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    References listed on IDEAS

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    1. Jun Wang & Changfeng Ge & Dong Sun Lee & Michael A. Sek & Vanee Chonhenchob, 2013. "Mathematical Problems in Packaging Engineering," Mathematical Problems in Engineering, Hindawi, vol. 2013, pages 1-2, November.
    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, John Wiley & Sons, vol. 2013(1).
    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, Hindawi, vol. 2013, pages 1-13, July.
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