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Parametric Identification of Parallel Hammerstein Systems
IEEE Transactions on Instrumentation and Measurement, 2011This paper proposes a parametric identification method for parallel Hammerstein systems. The linear dynamic parts of the system are modeled by a parametric rational function in the z - or s-domain, while the static nonlinearities are represented by a linear combination of nonlinear basis functions.
Maarten Schoukens +2 more
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Identification of MISO Wiener and Hammerstein systems
2003 European Control Conference (ECC), 2003This paper describes an unified new recursive identification method in the prediction error method and model scheme for three MISO Wiener and Hammerstein systems. It is also extension of our earlier work for SISO cases. With the estimation of intermediate variables by using the key term separation principle, a MISO Wiener and Hammerstein system can be ...
Guo, F., Bretthauer, G.
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Recursive Identification for MIMO Hammerstein Systems
IEEE Transactions on Automatic Control, 2011This technical note considers the recursive identification for the multi-input and multi-output (MIMO) Hammerstein system with internal noise and observation noise and with linear part being an ARX system. With the help of the generalized Yule-Walker equation and the correlations of system signals, the recursive algorithms are proposed for estimating ...
Xing-Min Chen, Han-Fu Chen
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Identification of Hammerstein nonlinear ARMAX systems
Automatica, 2005zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Feng Ding 0001, Tongwen Chen
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Fractional Hammerstein CAR system identification
2017 6th International Conference on Systems and Control (ICSC), 2017Identification of fractional Hammerstein controlled autoregressive systems (HCAR) is considered in this work. This system consists of a memoryless nonlinear sub-system followed by a fractional CAR subsystem. A nonlinear optimization algorithm is developed in order to estimate the system parameters as well as the fractional order.
Karima Hammar +2 more
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Identification of Hammerstein systems with continuous nonlinearity
Information Processing Letters, 2015zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jing Chen 0007, Xiuping Wang
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HAMMERSTEIN SYSTEM IDENTIFICATION WITH STOCHASTIC APPROXIMATION
International Journal of Modelling and Simulation, 2004The paper deals with a recursive identification algorithm of the nonlinear characteristic of the Hammerstein system designed for the case when no functional form of the true nonlinearity is a priori known, and only the overall system input-output data are available. The problem is considered in a stochastic environment and the algorithm is based on the
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Sensor-to-sensor identification of Hammerstein systems
2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 2012Traditional system identification uses measurements of the inputs, but when these measurements are not available, alternative methods, such as blind identification, output-only identification, or operational modal analysis, must be used. Yet another method is sensor-to-sensor identification (S2SID), which estimates pseudo transfer functions whose ...
Khaled Aljanaideh +4 more
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Identification methods for Hammerstein nonlinear systems
Digital Signal Processing, 2011This paper considers the identification problems of the Hammerstein nonlinear systems. A projection and a stochastic gradient (SG) identification algorithms are presented for the Hammerstein nonlinear systems by using the gradient search method. Since the projection algorithm is sensitive to noise and the SG algorithm has a slow convergence rate, a ...
Feng Ding 0001 +2 more
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Recursive Identification of Wiener--Hammerstein Systems
SIAM Journal on Control and Optimization, 2012Identification of the Wiener--Hammerstein system consisting of a linear subsystem in a cascade with a static nonlinearity $f(\cdot)$ followed by another linear subsystem with internal noises is con...
Bi-Qiang Mu, Han-Fu Chen
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