期刊
IET CONTROL THEORY AND APPLICATIONS
卷 7, 期 2, 页码 176-184出版社
INST ENGINEERING TECHNOLOGY-IET
DOI: 10.1049/iet-cta.2012.0313
关键词
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资金
- National Natural Science Foundation of China [61273194]
- Natural Science Foundation of Jiangsu Province, China [BK2012549]
- State Key Laboratory of Industrial Control Technology Open Research Fund [ICT1106]
- 111 Project [B12018]
This study derives a least-squares-based iterative algorithm and a gradient-based iterative algorithm for Hammerstein systems using the decomposition-based hierarchical identification principle. The simulation results confirm that the proposed two algorithms can give satisfactory identification accuracies and the least-squares-based iterative algorithm has faster convergence rates than the gradient-based iterative algorithm.
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