Abstract
In the study, a multi-innovation RLS with a forgetting factor (FF-MRLS) method is put forward to identify the parameters of a class of Hammerstein model. Two simulation experiments verify the proposed method is superior to the conventional FF-RLS method in terms of convergence rate and tracking performance.
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Acknowledgments
This work is supported by National Hi-tech Research and Development Program of China (863 Program, Grant No. 2014AA041505), the National Science Foundation of China (61572238), the Provincial Outstanding Youth Foundation of Jiangsu Province (BK20160001).
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Shi, Z., Ji, Z., Wang, Y. (2016). The Multi-innovation Based RLS Method for Hammerstein Systems. In: Zhang, L., Song, X., Wu, Y. (eds) Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems. AsiaSim SCS AutumnSim 2016 2016. Communications in Computer and Information Science, vol 643. Springer, Singapore. https://doi.org/10.1007/978-981-10-2663-8_12
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DOI: https://doi.org/10.1007/978-981-10-2663-8_12
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