A hybrid control strategy based on CSA and ELM for uncertain nonlinear chaotic system

Author:

Li Yan1ORCID,He Yigang2,Yu Wenxin1

Affiliation:

1. School of Information and Electrical Engineering, Hunan University of Science and Technology, Xiangtan, China

2. School of Electrical Engineering and Automation, Wuhan University, Wuhan, China

Abstract

The study of nonlinear chaotic systems and their control is an important topic. In this paper, a hybrid control strategy based on cuckoo search algorithm and extreme learning machine is proposed. Cuckoo search algorithm is used in a hybrid control strategy in order to optimise the weights and biases in extreme learning machine leading to the improvement of its performance. Simulations indicate that the proposed method is able to fit nonlinear chaotic systems and control chaotic systems effectively. Data used in the nonlinear chaotic system are also tested for uncertainty and unknown systems. Simulation results confirm that the proposed method shows robustness for noisy data and perturbed parameters.

Funder

(China Postdoctoral Science Foundation funded project

Publisher

SAGE Publications

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