Adaptive Iterative Learning Control for Complex Dynamical Networks

作者:Hao, Xiuqing; Li, Junmin*
来源:Mathematical Problems in Engineering, 2015, 2015: 462027.
DOI:10.1155/2015/462027

摘要

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.

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