Data filtering-based least squares iterative algorithm for Hammerstein nonlinear systems by using the model decomposition

作者：Ma, Junxia; Ding, Feng^*; Yang, Erfu

来源：Nonlinear Dynamics, 2016, 83(4): 1895-1908.

DOI：10.1007/s11071-015-2454-x

• Data filtering
• Least squares
• Iterative algorithm
• Model decomposition
• Nonlinear system

This paper focuses on the iterative identification problems for a class of Hammerstein nonlinear systems. By decomposing the system into two fictitious subsystems, a decomposition-based least squares iterative algorithm is presented for estimating the parameter vector in each subsystem. Moreover, a data filtering-based decomposition least squares iterative algorithm is proposed. The simulation results indicate that the data filtering-based least squares iterative algorithm can generate more accurate parameter estimates than the least squares iterative algorithm.

• 出版日期2016-3
• 单位江南大学