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Cited by 6
Recursive Identification of Systems with Noninvertible Output Nonlinearities

Compound Operator Decomposition and Its Application to Hammerstein and Wiener Systems
Jozef Vörös
https://doi.org/10.1007/978-1-84996-513-2_4
Book  Lecture Notes in Control and Information Sciences (Block-oriented Nonlinear System Identification) Volume 404 (2010), p. 35
Introduction
Rimantas Pupeikis, Kazys Kazlauskas
https://doi.org/10.1007/978-3-032-06740-1_1
Book  Studies in Systems, Decision and Control (Advanced Digital Signal Processing Methods for Filtering, Identification, and Nonlinear Systems Control) Volume 638 (2026), p. 1
Least Squares Based and Two-Stage Least Squares Based Iterative Estimation Algorithms for H-FIR-MA Systems
Zhenwei Shi, Zhicheng Ji
https://doi.org/10.1155/2015/516374
Journal  Mathematical Problems in Engineering Volume 2015 (2015), p. 1
Maximum likelihood Newton recursive and the Newton iterative estimation algorithms for Hammerstein CARAR systems
Junhong Li, Feng Ding, Liang Hua
https://doi.org/10.1007/s11071-013-1061-y
Journal  Nonlinear Dynamics Volume 75, Issue 1-2 (2014), p. 235
One-shot set-membership identification of Wiener models with polynomial nonlinearities
V. Cerone, V. Razza, D. Regruto
https://doi.org/10.1016/j.ifacol.2015.12.254
Journal  IFAC-PapersOnLine Volume 48, Issue 28 (2015), p. 957
Parametric Identification of Systems with Piecewise-Linear Nonlinearities
Rimantas Pupeikis, Kazys Kazlauskas
https://doi.org/10.1007/978-3-032-06740-1_7
Book  Studies in Systems, Decision and Control (Advanced Digital Signal Processing Methods for Filtering, Identification, and Nonlinear Systems Control) Volume 638 (2026), p. 85


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