Brief paper: Novel adaptive neural control design for nonlinear MIMO time-delay systems
Automatica (Journal of IFAC)
Synchronization between Two Different Chaotic Neural Networks with Fully Unknown Parameters
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part II
CCDC'09 Proceedings of the 21st annual international conference on Chinese Control and Decision Conference
Global asymptotic synchronization of a class of chaotic neural networks by an adaptive method
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
IEEE Transactions on Neural Networks
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on game theory
IEEE Transactions on Neural Networks
Design of a fuzzy sliding-mode synchronization controller for two different chaos systems
Computers & Mathematics with Applications
Synchronization of nonidentical chaotic neural networks with time-varying delays
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part I
Adaptive control for nonlinear MIMO time-delay systems based on fuzzy approximation
Information Sciences: an International Journal
| Hi-index | 0.01 |
This letter presents an adaptive synchronization scheme between two different kinds of delayed chaotic neural networks (NNs) with partly unknown parameters. An adaptive controller is designed to guarantee the global asymptotic synchronization of state trajectories for two different chaotic NNs with time delay. An illustrative example is given to demonstrate the effectiveness of the present method.