Adaptive inverse control of Hénon chaotic synchronization

Motivated by neural network theory, a general control construction approach based on adaptive inverse control theory is proposed for achieving chaotic synchronization under the condition of noise perturbation. First, the control method structure is introduced. Next, based on the neural network algorithm, the identified controlled device and learned sending controller are presented to construct the adaptive inverse controller construction. Thirdly, the feasibility of noise elimination and chaotic synchronization are verified in the presence of perturbation by using the proposed approach. In addition, adaptive inverse control is an open-loop controlling system with easy implementation for field-test.