Optimization of self-adaptive synchronization and parameters estimation in chaotic Hindmarsh-Rose neuron model
Hindmarsh-Rose混沌神经元自适应同步和参数识别的优化研究

Optimization of self-adaptive syn chronization is investigated to estimate a group of five unknown parameters in one certain chaotic neuron model, which is described by the Hindmarsh-Rose. Two controllable gain coefficients are introduced into the Lyapunov function, which is necessary to get the form of parameter observers and controllers for parameter estimation and synchronization, to adjust the transient period for complete syn chronization and parameter identification. It is found that the identified re...