A hybrid strategy to control uncertain nonlinear chaotic system |
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Institution: | 1. The School of Electrical and Automation Engineering, Hefei University of Technology, Hefei 230009, China;2. School of Information and Electrical Engineering, Hunan University of Science and Technology, Xiangtan 411105, China;3. College of Electrical and Information Engineering, Hunan University, Changsha 430100, China |
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Abstract: | In this paper, a new method, based on firefly algorithm(FA) and extreme learning machine(ELM), is proposed to control chaos in nonlinear system. ELM is an efficient predicted and classified tool, and can match and fit nonlinear systems efficiently. Hence, mathematical model of uncertain nonlinear system is obtained indirectly. For higher fitting accuracy, a novel swarm intelligence algorithm FA is drawn in our proposed way. The main advantage is that our proposed method can remove the limitation that mathematical model must be known clearly and can be applied to unknown nonlinear chaotic system. |
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Keywords: | chaos firefly algorithm extreme learning machine |
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