Synchronization of chaotic neural networks based on adaptive inverse control and its applications in secure communications

Based on adaptive inverse control theory, a new chaotic neural networks synchronous system and its secure communication are designed. The synchronization of chaotic neural networks system in the presence of perturbation is studied. The proposed method can overcome effectively the noise pollution of channel in transmitting information. The numerical experiments show that the proposed secure communication scheme has advantages of flexible implementation, fast synchronization, high-quality recovery of information and large amounts of secret key for information encryption.