Synchronisation of chaotic systems using neural generalised predictive control
by Zakaria Driss; Noura Mansouri
International Journal of Automation and Control (IJAAC), Vol. 14, No. 4, 2020

Abstract: In this paper, a successful implementation of a neural generalised predictive control (NGPC) method for synchronisation of uncertain chaotic and hyperchaotic systems is presented. For this purpose, multi-layer feedforward neural network and particle swarm optimisation method (PSO) are used as system's model and optimisation algorithm, respectively. The synchronisation of two 3D Lorenz systems and 4D Lü hyperchaotic systems is investigated using the proposed method in different situations: complete synchronisation, hybrid synchronisation, and synchronisation based on one control input. Simulation results show satisfying performance of the proposed implementation in terms of the quality of the control input and the ability to solve many problems with only slight adaptations.

Online publication date: Wed, 08-Jul-2020

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