Adaptive Control of Hyper-Chaotic Systems Based on Dynamic Structure RBF Neural Networks
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.
J. Wang et al., "Adaptive Control of Hyper-Chaotic Systems Based on Dynamic Structure RBF Neural Networks", Applied Mechanics and Materials, Vols. 229-231, pp. 2311-2314, 2012