Identification of Chua’s chaotic circuit parameters using penguins search optimisation algorithm

Fouzia Maamri, Sofiane Bououden and Ilyes Boulkaibet

Cyber-Physical Systems, 2022, vol. 8, issue 3, 233-260

Abstract: In this paper, the Penguins Search optimisation (PeSOA) Algorithm is used to identify optimal control parameters of the Chua circuit. The PeSOA algorithm, which is one of the nature-inspired algorithms, is mainly based on the collaborative hunting concept of penguins. In this algorithm, each penguin individually starts its search process, then communicates its position and the number of fish found to his group. The main objective of this strategy is to synchronise dives among the group in order to achieve a global solution. In this paper, a PeSOA algorithm is adopted to explore the search space for locating the optimum intervals and identify the unknown Chua’s system parameters without any partial knowledge of the internal structure. The identified parameters, obtained by minimising the objective function between the estimated and the output values of the system, are used to obtain stable oscillations. The obtained results show that the PeSOA algorithm gives accurate results and the identified parameters produce a stable oscillation of Chua’s chaotic circuit.

Date: 2022
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DOI: 10.1080/23335777.2021.1921038

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