Mathematics and Computers in Simulation - Chaos synchronization and control
Chaos synchronization and duration time of a class of uncertain chaotic systems
Mathematics and Computers in Simulation
Adaptive chaos synchronization in Chua's systems with noisy parameters
Mathematics and Computers in Simulation
Synchronization and control of hyperchaotic complex Lorenz system
Mathematics and Computers in Simulation
Original article: Adaptive-impulsive synchronization of chaotic systems
Mathematics and Computers in Simulation
IEEE Transactions on Neural Networks
Hi-index | 0.00 |
After investigating the effect of the frequency of an external electrical stimulation on the chaotic dynamics of a single FitzHugh-Nagumo (FHN) neuron, this paper derives both a sufficient and a necessary condition of the coupling coefficient for self-synchronization of two interacting FHN neurons by using the Lyapunov function method and the largest transverse Lyapunov exponent, respectively. Also, for the cases that self-synchronization is not achieved through the coupling coefficient, a feedback control law for synchronization using the Lyapunov method is investigated. The performance of the proposed control law is compared with that of an existing one in the literature. Simulation results are provided.