Results 21 to 30 of about 861 (177)
Instrumental Variable-Based OMP Identification Algorithm for Hammerstein Systems
Complexity, 2018 Hammerstein systems are formed by a static nonlinear block followed by a dynamic linear block. To solve the parameterizing difficulty caused by parameter coupling between the nonlinear part and the linear part in a Hammerstein system, an instrumental ...
Shuo Zhang, Dongqing Wang, Yaru Yan
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Parameter identification for Hammerstein nonlinear system with polynomial and state space model
Measurement + Control, 2023 This study investigates a two-stage parameter identification algorithm for the Hammerstein nonlinear system based on special test signals. The studied Hammerstein nonlinear system has a static nonlinear subsystem represented by polynomial basis function ...
Chenghao Li, Feng Li, Qingfeng Cao
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Algorithms, 2017 Due to the lack of powerful model description methods, the identification of Hammerstein systems based on the non-uniform input-output dataset remains a challenging problem.
Li Xie, Huizhong Yang
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Identification of Time-Varying Hammerstein-Wiener Systems
IEEE Access, 2020 This paper focuses on identifying time-varying Hammerstein-Wiener systems. A modified algorithm based on extended Kalman filter is proposed. The algorithm is derived from the comparison between the first and the second order extended Kalman filter ...
Feng Yu, Zhizhong Mao, Dakuo He
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Blind identification of Volterra-Hammerstein systems
IEEE Transactions on Signal Processing, 2004 This paper is concerned with the blind identification of Volterra-Hammerstein systems. Two identification scenarios are covered. The first scenario assumes that, although the input is not available, the statistics of the input are a priori known. This case appears in communication applications where the input statistics of the transmitter are known to ...
Kalouptsidis, N., Koukoulas, P.
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WH-EA: An Evolutionary Algorithm for Wiener-Hammerstein System Identification
Complexity, 2018 Current methods to identify Wiener-Hammerstein systems using Best Linear Approximation (BLA) involve at least two steps. First, BLA is divided into obtaining front and back linear dynamics of the Wiener-Hammerstein model. Second, a refitting procedure of
J. Zambrano +3 more
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Nontrivial Solutions of Systems of Perturbed Hammerstein Integral Equations with Functional Terms
Mathematics, 2021 We discuss the solvability of a fairly general class of systems of perturbed Hammerstein integral equations with functional terms that depend on several parameters.
Gennaro Infante
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Identification of Hammerstein Systems with Quantized Observations
SIAM Journal on Control and Optimization, 2010 Summary: This work is concerned with identification of Hammerstein systems whose outputs are measured by quantized sensors. The system consists of a memoryless nonlinearity that is polynomial and possibly noninvertible, followed by a linear subsystem. The parameters of linear and nonlinear parts are unknown but have known orders.
Zhao, Yanlong +3 more
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Noise Reduction in the Swept Sine Identification Procedure of Nonlinear Systems
Applied Sciences, 2021 The Hammerstein model identification technique based on swept sine excitation signals proved in numerous applications to be particularly effective for the definition of a model for nonlinear systems. In this paper we address the problem of the robustness
Pietro Burrascano, Matteo Ciuffetti
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On coupled systems of Hammerstein integral equations
Boundary Value Problems, 2019 In this paper we deal with generalized coupled systems of integral equations of Hammerstein type with nonlinearities depending on several derivatives of both variables and we underline that both equations and both variables can have a different ...
Robert de Sousa, Feliz Minhós
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