%0 Journal Article %T 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 %A Ma Jun %A Su Wen-Tao %A Gao Jia-Zhen %A
马军 %A 苏文涛 %A 高加振 %J 物理学报 %D 2010 %I %X 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... %K parameter estimation %K self-adaptive synchronization %K Hindmarsh-Rose neuron
参数识别, %K 自适应同步, %K Hindmarsh-Rose %K 神经元 %U http://www.alljournals.cn/get_abstract_url.aspx?pcid=6E709DC38FA1D09A4B578DD0906875B5B44D4D294832BB8E&cid=47EA7CFDDEBB28E0&jid=29DF2CB55EF687E7EFA80DFD4B978260&aid=A90EAA92DBD691EFA0C8F024D7F635CA&yid=140ECF96957D60B2&vid=6AC2A205FBB0EF23&iid=38B194292C032A66&sid=EE882EEBF9236453&eid=E0EA1E85C42D382D&journal_id=1000-3290&journal_name=物理学报&referenced_num=1&reference_num=51