Parameter Estimation of Multi-Input, Single-Output Systems Based on the Correlation Analysis Methods
A correlation analysis based identification method is presented for multi-input, single-output systems. The basic idea is to estimate the equivalent FIR (finite impulse response) model parameters with the orders increasing, and to compute the parameter estimates of the original systems (i.e., each fictitious subsystem) using the system inputs and the outputs of the estimated FIR models, based on the least squares optimization. Simulation results are included.
Shi Zhang Huibo Chen Yongsong Xiao
College of Automation Nanjing University of Technology Nanjing, P.R. China 210009 Control Science and Engineering Research Center Southern Yangtze University Wuxi, P.R. China 214122
国际会议
南宁
英文
2007-07-20(万方平台首次上网日期,不代表论文的发表时间)