The Identification of Coupling Multi-Variable Nonlinear Continuous-time System
This paper proposes an identification approach for a type of two-input two-output nonlinear continuous-time system under driving sign, the driving sign is Gauss white noise, the outputs are sampled evenly; The maximum likelihood estimates of the model parameters based on continuous sampling are derived and the convergence of the presented algorithms is proved; numerical simulations illustrate the efficiency of the estimates and the NNR (noise intensity ratio of one state to another) phenomenon of coupling multivariable appears in the numerical simulations.
Xiping Sun Xinen Qian Jiansheng Xu
Department of Electricity Engineering Hubei Automotive Industries Institute Shiyan,Hubei,P.R.China,4 Department of Control Science and Engineering Huazhong University of Science&Technology Wuhan,Hubei,
国际会议
青岛
英文
2006-07-21(万方平台首次上网日期,不代表论文的发表时间)