Journal
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
Volume 16, Issue 5, Pages 2225-2234Publisher
INST CONTROL ROBOTICS & SYSTEMS, KOREAN INST ELECTRICAL ENGINEERS
DOI: 10.1007/s12555-017-0596-y
Keywords
Feedback nonlinear system; filtering; gradient search; multi-innovation identification; parameter estimation
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Funding
- 111 Project [B12018]
- Jiangsu Province Industry University Prospective Joint Research Project [BY2015019-29]
- Fundamental Research Funds for the Central Universities [JUSRP51733B]
- National Natural Science Foundation of China [61472195]
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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.
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