A hybrid control strategy based on CSA and ELM for uncertain nonlinear chaotic system. (May 2020)

• Record Type: Journal Article
• Authors: Li, Yan; He, Yigang; Yu, Wenxin
• Is Part Of: Journal of algorithms & computational technology. Volume 14(2020)
• Publication Date: 2020-05
• Subjects: Chaotic system -- cuckoo search algorithm -- extreme learning machine -- control strategy -- map; Computer algorithms -- Periodicals; Numerical calculations -- Periodicals; Computer algorithms; Numerical calculations; Periodicals; 518.1
• DOI: 10.1177/1748302620922500
• Languages: English
• ISSNs: 1748-3018

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.