Genetic-based neural network control for chaotic system
Wang Yao-nan, Wen Tan, (1)湖南大学电气与信息工程学院，长沙 410082; (2)湖南大学电气与信息工程学院，长沙 410082;湖南科技大学信息与电气工程学院，湘潭 411201 · Acta Physica Sinica · 2003
A novel genetic-based neural network control for chaos is presented. The method proposed has been successfully applied to control two simulated chaotic systems by incorporating the techniques of small perturbations and the periodic control in this paper. The simulation results showed that the neural network trained by genetic algorithm can learn to produce a series of small perturbations to conver t chaotic oscillations of a chaotic system into desired regular ones. The scheme requires no knowledge about the mathematical model. Moreover, the approach is r easonably robust to noise, it can be extended to control other chaotic systems.