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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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
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Journal ArticleDOI
The performance of multilevel perturbation signals for nonlinear system identification
TL;DR: In this paper, a method for determining the optimal levels of multilevel perturbation signals for nonlinear system identification is described, and a performance index for the optimized signals, directly related to the identification accuracy, is based on the condition number of a Vandermonde submatrix of the signal levels vector.
Journal ArticleDOI
Linear Transfer Functions Extraction for a Power Generation Three-Shaft Gas Turbine Based on Actual Specifications:
TL;DR: The auto-regressive moving average with eXogenous, try and error transfer function and linearized Hammerstein model methods are proposed, respectively, for extracting the transfer functions for a three-shaft industrial gas turbine.
Journal ArticleDOI
Support Vector Machine Identification of Output Error Hammerstein Models
TL;DR: This paper considers the extension of an SVM based identification technique for Hammerstein models with ARX linear dynamics proposed by Dhaifallah and Westwick to include the output-error class of linear system models.
Journal ArticleDOI
Frequency-Domain-Based, Control-Relevant Model Reduction for Nonlinear Plants
TL;DR: A frequency-domain-based, control-relevant model reduction strategy for nonlinear process plants and an algorithm to design the prefilters to reflect the servo and regulatory performance specifications is proposed.
Journal ArticleDOI
Exploiting structure in piecewise affine identification of LFT systems
TL;DR: This paper addresses the use of prior knowledge about the interconnection structure for the identification of such LFT systems from input-output data, and proposes an iterative algorithm, which alternates the Identification of the linear and the nonlinear components, while estimating the unknown internal signals.
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.