Iterative Identification Algorithms for Input Nonlinear Output Error Autoregressive Systems

作者：Ma, Junxia; Xiong, Weili; Ding, Feng^*

来源：International Journal of Control Automation and Systems, 2016, 14(1): 140-147.

DOI：10.1007/s12555-014-0429-1

• Auxiliary model identification idea
• input nonlinear systems
• iterative identification
• key variables separation technique

This paper focuses on the parameter estimation problems of input nonlinear output error autoregressive systems. Based on the key variables separation technique and the auxiliary model identification idea, the output of the system is expressed as a linear combination of all the system parameters, the unknown inner variables in the information vector are replaced with the outputs of the auxiliary model and a gradient based and a least squares based iterative identification algorithms are derived. Simulation example is provided to illustrate the effectiveness of the proposed algorithms.

• 出版日期2016-2
• 单位江南大学