Journal
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
Volume 354, Issue 1, Pages 316-331Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jfranklin.2016.10.002
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Funding
- National Natural Science Foundation of China [61403217, 61273024]
- Ministry of Transportation Science and Technology Project [2014319813180]
- Natural Science Foundation for Colleges and Universities of Jiangsu Province [14KJB120012]
- Jiangsu Government Scholarship for Overseas Studies
- Australian Research Council [DP120104986]
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This paper studies the parameter estimation problem of Hammerstein output error autoregressive (OEAR) systems. According to the maximum likelihood principle and the Levenberg Marquardt optimization method, a maximum likelihood Levenberg Marquardt recursive (IVIL-LM-R) algorithm using the varying interval input output data is proposed. Furthermore, a stochastic gradient algorithm is also derived in order to compare it with the proposed ML-LM-R algorithm. Two numerical examples are provided to verify the effectiveness of the proposed algorithms. (C) 2016 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
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