Results 131 to 140 of about 1,110 (179)
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A blind approach to Hammerstein model identification
Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228), 2002Discusses discrete Hammerstein model identification using a blind system identification approach. By sampling faster at the output for the sampled Hammerstein systems, it is shown that identification of the linear part can be achieved based only on the output measurements that makes Hammerstein model identification possible without knowing the ...
Er-Wei Bai, Minyue Fu 0001
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Identification of Hammerstein models for control
Proceedings of the 37th IEEE Conference on Decision and Control (Cat. No.98CH36171), 2002Identification of single-input single-output Hammerstein models is studied. First we define identification for control that has four problems. In parameter estimation, prediction error criterion is used in order to maintain consistence when the process is operating in closed-loop.
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Approximation of Hammerstein/Wiener dynamic models
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium, 2000In the analysis of several scientific and engineering problems nonlinear dynamic systems are modelled as systems composed by the series connection of a linear dynamic subsystem with a nonlinear memoryless unit. If the nonlinearity follows the linear subsystem, the system is called of Wiener type, otherwise the system is called of Hammerstein type.
BALESTRINO A., CAITI, ANDREA
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A new method for the identification of Hammerstein model
Autom., 1997An identification algorithm using a hybrid model that consists of a multilayer feedforward neural network (used to identify the static nonlinearity) in series with a parametric ARMA model of fixed order (implemented for modeling the linear dynamics) is proposed for identification of discrete-time SISO and MIMO Hammerstein systems. To update the weights
H. Al-Duwaish, M. Nazmul Karim
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An integrating linearization method for Hammerstein models
Automatica, 2005zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Pär Samuelsson +2 more
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An identification approach of Hammerstein model
2010 Chinese Control and Decision Conference, 2010An identification method of Hammerstein model is investigated in this paper. First of all, the key term separation technique is introduced. Next, an auxiliary model is established. Accordingly, the identification problem of the Hammerstein model is cast as nonlinear function optimization problem over parameter space.
null Feng Wang +3 more
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Frequency domain identification of Hammerstein models
Proceedings of the 41st IEEE Conference on Decision and Control, 2002., 2003This paper discusses Hammerstein model identification in frequency domain using the sampled input-output data. By exploring the fundamental frequency and harmonics generated by the unknown nonlinearity, we propose a frequency domain approach and show its convergence for both the linear and nonlinear subsystems in the presence of noise.
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Identification of nonlinear systems described by Hammerstein models
42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475), 2004This paper deals with a method for identification of nonlinear systems suitable to be described by Hammerstein models consisting of a static nonlinearity followed by an ARX linear model. The estimation of the static nonlinearity is carried out supplying the system with a sequence of step signals of various amplitude and determining the corresponding ...
ALONGE, Francesco +3 more
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Modelling of an ultrasonic motor based on Hammerstein model structure
ICARCV 2004 8th Control, Automation, Robotics and Vision Conference, 2004., 2005Ultrasonic motors (USM) possess heavy nonlinear and load dependent characteristics of ultrasonic motors (USM) such as dead-zone and saturation reverse effects, which vary with driving conditions. In this paper, behaviour of an ultrasonic motor is modelled using Hammerstein model structure and experimental measurements.
Nooshin Bigdeli 0001, Mohammad Haeri
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Identification of a Benchmark Wiener-Hammerstein System by Bilinear and Hammerstein-Bilinear Models
IFAC Proceedings Volumes, 2009Abstract In this paper the Wiener-Hammerstein system proposed as a benchmark for the SYSID 2009 benchmark session is identified as a bilinear discrete system. The bilinear approximation relies on both facts that the Wiener-Hammerstein system can be described by a Volterra series which can be approximated by bilinear systems.
Ramos, Jose A. +2 more
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