|Data Filtering Based Multi-innovation Gradient Identification Methods for Feedback Nonlinear Systems
Bingbing Shen, Feng Ding*, Ling Xu, and Tasawar Hayat
International Journal of Control, Automation, and Systems, vol. 16, no. 5, pp.2225-2234, 2018
Abstract : "With the development of industry information technology, many researchers pay attention to the estimation
problems of feedback nonlinear systems increasingly. In this paper, a filtering based multi-innovation stochastic
gradient algorithm is derived for Hammerstein equation-error autoregressive systems by using the hierarchical technique.
The parameter estimates accuracy can be improved with the innovation length increasing. These algorithms
are easy to implement on-line. The simulation results verify the effectiveness of the proposed algorithm."
Feedback nonlinear system, filtering, gradient search, multi-innovation identification, parameter estimation