Adaptive Control of Hyper-Chaotic Systems Based on Dynamic Structure RBF Neural Networks
Jing Wang, Hong Xia Gao, Zhen Yu Tan, Jin Feng Gao · Applied Mechanics and Materials · 2012
An adaptive control scheme based on neural networks is presented for control of hyper-chaotic systems. Parameters of neural networks and controllers are adjusted automatically to ensure the stability of the closed-loop system. Numerical simulation illustrates that the proposed control scheme is valid for hyper-chaotic system.