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 synchron ous system and its secure communication are designed. The synchronization of cha otic neural networks system in the presence of perturbation is studied. The prop osed method can overcome effectively the noise pollution of channel in transmitt ing information. The numerical experiments show that the proposed secure communi cation scheme has advantages of flexible implementation, fast synchronization, h igh-quality recovery of information and large amounts of secret key for informat ion encryption.