Adaptive Iterative Learning Control for Complex Dynamical Networks

Xiuqing Hao and Junmin Li

Mathematical Problems in Engineering, 2015, vol. 2015, 1-9

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.

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:462027

DOI: 10.1155/2015/462027

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