Journal ArticleDOI
An iterative method for the identification of nonlinear systems using a Hammerstein model
Kumpati S. Narendra,P. Gallman +1 more
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TLDR
In this article, an iterative method is proposed for the identification of nonlinear systems from samples of inputs and outputs in the presence of noise, which consists of a no-memory gain (of an assumed polynomial form) followed by a linear discrete system.Abstract:
An iterative method is proposed for the identification of nonlinear systems from samples of inputs and outputs in the presence of noise. The model used for the identification consists of a no-memory gain (of an assumed polynomial form) followed by a linear discrete system. The parameters of the pulse transfer function of the linear system and the coefficients of the polynomial non-linearity are alternately adjusted to minimize a mean square error criterion. Digital computer simulations are included to demonstrate the feasibility of the technique.read more
Citations
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Journal ArticleDOI
Identification of nonlinear block-oriented systems by the recursive kernel estimate
TL;DR: The optimal model of memoryless cascade system is derived and estimated by the recursive kernel regression estimate and nonlinear dynamical systems of Hammerstein and Wiener type with arbitrary nonlinearities are identified by means of nonparametric techniques.
Journal ArticleDOI
Fixed point iteration in identifying bilinear models
TL;DR: It is shown that the resulting iteration is a contraction mapping on a metric space when the number of input–output data points approaches infinity, which ensures the existence and uniqueness of a fixed point of the iterated function sequence and therefore the convergence of the iteration.
Journal ArticleDOI
Real-Time Hardware-in-the-Loop Emulation of High-Speed Rail Power System With SiC-Based Energy Conversion
TL;DR: A real-time SiC IGBT model based on the Wiener-Hammerstein configuration is proposed, implemented on the hybrid multiprocessor system-on-chip (MPSoC) and field-programmable gate array (FPGA) platform, to verify both the system-level and device-level performance of the proposed model with comparisons to commercial software PSCAD/EMTDC and SaberRD.
Dissertation
Identification of linear and nonlinear systems using multisine signals : with a gas turbine application
TL;DR: This thesis deals with the design of test signals for both linear and nonlinear modelling and their application to an engineering problem, and illustrates the potential of frequency-domain techniques for modelling gas turbine dynamics, where a physical interpretation of the model parameters is to be made.
Proceedings ArticleDOI
Identification of MISO Wiener and Hammerstein systems
Fen Guo,Georg Bretthauer +1 more
TL;DR: This paper describes an unified new recursive identification method in the prediction error method and model scheme for three MISO Wiener and Hammerstein systems that can be approximately transformed into a pseudo-linear MISO dynamic system.
References
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Journal ArticleDOI
A technique for the identification of linear systems
Kenneth Steiglitz,L. McBride +1 more
TL;DR: In this paper, an iterative technique is proposed to identify a linear system from samples of its input and output in the presence of noise by minimizing the mean-square error between system and model outputs.
Journal ArticleDOI
On the Identification Problem
TL;DR: In this paper, the identification of zero-memory multipoles and two-poles of class n_1 was studied, where the test signals are sine waves of different amplitudes and frequencies, and the measured quanity is the describing function of the device.