Results 151 to 160 of about 1,110 (179)
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Hammerstein model identification with set membership errors
Proceedings of the 38th IEEE Conference on Decision and Control (Cat. No.99CH36304), 2003The problem of the Hammerstein dynamic system identification is considered when the measurement error is characterized in a set-membership context. The proposed approach accomplishes parameter identification through the introduction of a linearized augmented Hammerstein model whose parameter bounds allow us to derive overbounds to the Hammerstein model
BELFORTE, GUSTAVO, GAY P.
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Dead-beat control of simple Hammerstein models
IEEE Transactions on Automatic Control, 1998Summary: Dead-beat controllers for simple Hammerstein systems are investigated. Several designs for nonminimum-time state dead-beat controllers are given for certain classes of simple Hammerstein systems. The designs may take into account transients and controllability aspects.
Dragan Nesic, Iven Mareels
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Parameters identification of PMSM through Hammerstein model
IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society, 2013The following paper describes the identification of the direct and quadrature inductances of permanent magnet synchronous motor. The identification is based on the Hammerstein model, where the motor is divided into linear dynamics and static nonlinearity. The newton's method is used for identification of the inductance from the static nonlinearity.
Ivo Veselý, Lukas Pohl
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Structural estimation of Wiener-Hammerstein mathematical models
2015 4th International Conference on Systems and Control (ICSC), 2015In nonlinear system identification, block-oriented models such as Wiener and Hammerstein models have the advantage that they are quite simple to understand and easy to use. This paper presents a structural estimation of the Wiener-Hammerstein model, which is a block-oriented model where a static nonlinear system is surrounded by two linear dynamics at ...
Afef Ghanmi, Samira Kamoun, Sofien Hajji
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The Hammerstein–Wiener Model for Identification of Stochastic Systems
Automation and Remote Control, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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ESTIMATION OF AN N-L-N HAMMERSTEIN-WIENER MODEL
IFAC Proceedings Volumes, 2002Parametric identification of a noisy nonlinear SISO Hammerstein-Wiener dynamical model is considered. A relaxation recursive identification scheme to determine approximate model parameters is proposed. The nonlinear static characteristics are parameterized by using cubic splines, and the linear dynamics is represented by a high-order ARX model.
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Modelling of Ionization Current in a Flame based on Hammerstein Models
2021 IEEE Conference on Control Technology and Applications (CCTA), 2021Julian Tacke +3 more
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A Robust Hammerstein-Wiener Model Identification Method for Highly Nonlinear Systems
Processes, 2022Lijie Sun, Jie Hou, Zhewei Fang
exaly
Identification of nonlinear system using extreme learning machine based Hammerstein model
Communications in Nonlinear Science and Numerical Simulation, 2014Yinggan Tang, Xinping Guan
exaly
Identification of Hammerstein models with hysteresis nonlinearity
International Journal of Systems ScienceF. E. El Mansouri +4 more
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