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Original Articles

Parameter estimation for nonlinear systems by using the data filtering and the multi-innovation identification theory

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Pages 1869-1885 | Received 17 Mar 2015, Accepted 15 Jul 2015, Published online: 16 Sep 2015

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Ping Ma, Feng Ding & Quanmin Zhu. (2018) Decomposition-based recursive least squares identification methods for multivariate pseudo-linear systems using the multi-innovation. International Journal of Systems Science 49:5, pages 920-928.
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Articles from other publishers (6)

Jielong Chen, Yang Shi & Yunong Zhang. (2022) Simulative Results of Time-Variant Nonlinear Equation Systems Solved by Integral-Aided Zhang Neuronet with Various Noises Suppressed. Simulative Results of Time-Variant Nonlinear Equation Systems Solved by Integral-Aided Zhang Neuronet with Various Noises Suppressed.
Yan Ji & Jinde Cao. (2022) Parameter Estimation Algorithms for Hammerstein Finite Impulse Response Moving Average Systems Using the Data Filtering Theory. Mathematics 10:3, pages 438.
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Naveed Ishtiaq Chaudhary, Muhammad Asif Zahoor Raja, Yigang He, Zeshan Aslam Khan & J.A. Tenreiro Machado. (2021) Design of multi innovation fractional LMS algorithm for parameter estimation of input nonlinear control autoregressive systems. Applied Mathematical Modelling 93, pages 412-425.
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Bensheng Lyu, Li Jia & Feng Li. (2020) Neuro-fuzzy based identification of Hammerstein OEAR systems. Computers & Chemical Engineering 141, pages 106984.
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Wei Wang. 2020. Proceedings of the 11th International Conference on Modelling, Identification and Control (ICMIC2019). Proceedings of the 11th International Conference on Modelling, Identification and Control (ICMIC2019) 663 673 .
Ammara Mehmood, Naveed Ishtiaq Chaudhary, Aneela Zameer & Muhammad Asif Zahoor Raja. (2019) Novel computing paradigms for parameter estimation in Hammerstein controlled auto regressive auto regressive moving average systems. Applied Soft Computing 80, pages 263-284.
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