A gradient-based parameter identification method for time-delay chaotic systems

摘要：

　　In this paper,the parameter identification problem for a general class of time-delay chaotic systems is considered.The objective of the problem is to determine optimal values for an unknown time-delay and unknown system parameters such that the dynamic model of the system best fits given experimental data.We propose a gradient-based optimization algorithm to solve this problem,where accurate values for the partial derivatives of the error function are obtained by solving a set of auxiliary time-delay systems.Simulation results for two example problems show that the proposed algorithm is robust and efficient.

关键词： Chaotic system Parameter identification Time-delay

作者: Qinqin CHAI Ryan LOXTON

作者单位: College of Electrical Engineering and Automation,Fuzhou University,Fuzhou,350108,Peoples Republic o Department of Mathematics and Statistics,Curtin University,Perth,6102,Australia

会议类型: 国际会议

会议名称: The 33th Chinese Control Conference第33届中国控制会议

会议地点: 南京

会议语种:英文

页码: 6566-6570

在线出版日期: 2014-07-28（万方平台首次上网日期，不代表论文的发表时间）