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Journal ArticleDOI

An iterative method for the identification of nonlinear systems using a Hammerstein model

Kumpati S. Narendra, +1 more
- 01 Jul 1966 - 
- Vol. 11, Iss: 3, pp 546-550
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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.

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Citations
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A New Hybrid Model Based On Neuro Fuzzy Network Soft Switching Mechanism For System Identification

TL;DR: In this paper, a calismanin amaci sistem kimliklendirme alaninda yeni bir karma model gelistirmektir is presented.
Proceedings ArticleDOI

Flutter-Boundary Prediction Using System Identification-Based Reduced-Order Aeroelasticity Analysis

TL;DR: In this article, a continuous time state-space model of the closed-loop aeroelastic system using numerical simulation results is constructed, and eigenvalue analysis is performed to determine the utter boundary.
Journal ArticleDOI

Control of a continuous polymerization reactor by wiener input/output data-based predictive controller with direct inverse identification

TL;DR: In this article, a Wiener-type input/output data-based predictive controller was designed and applied to the property control of polymer product in the continuous methyl methacrylate (MMA) solution polymerization reactor by conducting an online digital control experiment with online densitometer and viscometer.
Journal ArticleDOI

Predictive Control of the Iron Ore Beneficiation Process Based on the Hammerstein Hybrid Model

TL;DR: It was shown that the best result for identifying the considered processes of magnetic beneficiation of iron ore by the minimum error criterion was obtained using the Hammerstein recursive-parallel model, recommended for the identification of beneficiation production objects.
Journal ArticleDOI

An Iterative Algorithm for the Subspace Identification of SISO Hammerstein Systems

TL;DR: In this article, an algorithm to identify state-space models for single input single output (SISO) Hammerstein structures based on input-output measurements is described, where the unknown parameters are then estimated using an iterative procedure that solves a least square problem at each step.
References
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Journal ArticleDOI

A technique for the identification of linear systems

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.
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