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Adaptive Iterative Learning Control for Complex Dynamical Networks

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  • Xiuqing Hao
  • Junmin Li

Abstract

A new adaptive iterative learning control scheme is proposed for complex dynamical networks with repetitive operation over a fixed time interval. By designing difference type updating laws for unknown time-varying parameters and coupling strength, the state of each node in complex dynamical networks can track the reference signal. By constructing a composite energy function, a sufficient condition of the convergence of tracking error sequence is achieved in the iteration domain. Finally, a numerical example is given to show the effectiveness of the designed method.

Suggested Citation

  • Xiuqing Hao & Junmin Li, 2015. "Adaptive Iterative Learning Control for Complex Dynamical Networks," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-9, January.
    • Handle: RePEc:hin:jnlmpe:462027
    DOI: 10.1155/2015/462027
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