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International Journal of Systems Science Volume 52, 2021 - Issue 16
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Regular papers

Parameter tracking of time-varying Hammerstein-Wiener systems

Feng Yua College of Information Science and Engineering, Northeastern University, Shenyang, People’s Republic of ChinaCorrespondence[email protected]
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Xia Hongb Department of Computer Science, School of Mathematical, Physical and Computational Sciences, University of Reading, Reading, UKView further author information
Pages 3478-3492 | Received 25 Nov 2020, Accepted 11 May 2021, Published online: 27 May 2021

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Karpagavalli Subramanian & T. S. Chandar. (2022) A novel strategy for identification and control of a class of linear systems. International Journal of Systems Science 53:14, pages 3131-3144.
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Articles from other publishers (4)

Jian Zhang, Ying Xu & Yiran Li. (2024) An improved state space model predictive control for linear systems with input disturbance. Transactions of the Institute of Measurement and Control.
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Feng Li & Jiahu Han. (2023) Parameters estimation for the Hammerstein‐Wiener models with colored noise based on hybrid signals. International Journal of Adaptive Control and Signal Processing 38:3, pages 921-937.
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Yan Ji, Jian Liu & Haibo Liu. (2023) An identification algorithm of generalized time-varying systems based on the Taylor series expansion and applied to a pH process. Journal of Process Control 128, pages 103007.
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Zhengbin Li, Lijun Ma & Yongqiang Wang. (2022) A New Robust Identification Algorithm for Hammerstein-Like System Using Identification Error Structure. IEEE Access 10, pages 29121-29131.
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