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Newton iterative identification method for an input nonlinear finite impulse response system with moving average noise using the key variables separation technique

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Abstract

This paper studies parameter identification problems for input nonlinear finite impulse response systems with moving average noise (i.e., input nonlinear finite impulse response moving average systems). Since the identification model of the system contains the product of the parameters of the nonlinear part and the linear part, we use the key variables separation technique and express the output of the system as the linear combination of all parameters, and then derive a Newton iterative identification method. The simulation results show that the proposed algorithm is effective.

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Acknowledgments

This work was supported by the National Natural Science Foundation of China (No. 61273194), the Fundamental Research Funds for the Central Universities (No. JUSRP51322B), the PAPD of Jiangsu Higher Education Institutions and the 111 Project (B12018).

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Authors and Affiliations

  1. Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, Wuxi, 214122, People’s Republic of China

    Kepo Deng & Feng Ding

  2. Control Science and Engineering Research Center, Jiangnan University, Wuxi, 214122, People’s Republic of China

    Feng Ding

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  1. Kepo Deng
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  2. Feng Ding
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Correspondence to Feng Ding.

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Deng, K., Ding, F. Newton iterative identification method for an input nonlinear finite impulse response system with moving average noise using the key variables separation technique. Nonlinear Dyn 76, 1195–1202 (2014). https://doi.org/10.1007/s11071-013-1202-3

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  • DOI: https://doi.org/10.1007/s11071-013-1202-3

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