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
Citations
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Journal ArticleDOI
Recursive Identification for MIMO Fractional-Order Hammerstein Model Based on AIAGS
TL;DR: In this article , adaptive immune algorithm based on a global search strategy and auxiliary model recursive least square method (AMRLS) are used to identify the multiple-input multiple-output fractional-order Hammerstein model.
Journal ArticleDOI
The effect of initial transient on the steady-state simulation harmonic analysis gradient estimators
TL;DR: In this article, the effect of the initial transient on output performance estimators is measured for harmonic analysis gradient estimators and finite differences gradient estimator, and guidelines are given that indicate when each estimator is better designed to mitigate this effect.
Book ChapterDOI
Experimental Study on Improved Differential Evolution for System Identification of Hammerstein Model and Wiener Model
TL;DR: The improvement DE has higher accurate and recognition ability, stronger convergence, and a kind of adaptive mutation differential evolution algorithm for scaling factor (MDE) to enhance the performance of the DE identification.
Journal ArticleDOI
Hammerstein Model Based RLS Algorithm for Modeling the Intelligent Pneumatic Actuator (IPA) System
Siti Fatimah Sulaiman,Siti Fatimah Sulaiman,Mohd. Fua'ad Rahmat,Ahmad Athif Mohd Faudzi,Khairuddin Osman,N. H. Sunar,Sy Najib Sy Salim +6 more
TL;DR: In this article, the Hammerstein model is used to model a nonlinear Intelligent Pneumatic Actuator (IPA) system using recursive least square (RLS) algorithm.
Book ChapterDOI
Semi-parametric methods for system identification
TL;DR: This paper is concerned with identification problems in general, structured interconnected models, and elements to be identified are of two types: parametric components and non-parametric components.
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.