Results 41 to 50 of about 1,828,697 (335)
Nonlinear System Identification: Prediction Error Method vs Neural Network [PDF]
2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST), 2021 System identification has been used in various domains for analyzing system properties and carrying out filtering, prediction and automatic control. Prediction error method (PEM) is one of the classic methods to estimate system parameters and exploit dynamical structure of the studied system; while neural network (NN) is favorable for black-box systems
Sun, Jinming +3 more
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Modelling Free Response of a Solar Plant for Predictive Control [PDF]
, 1997 IFAC System Identification, Kitakyushu, Fukuoka,Japan,1997This paper deals with the identification of a nonlinear plant by means of a neural network (NN) modelling approximation. The problem of neural identification is tackled using a static NN in a NARX
Berenguel Soria, Manuel +2 more
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Identification of Nonlinear Systems [PDF]
2017 European Conference on Electrical Engineering and Computer Science (EECS), 2017 In this work, the problem of identifying nonlinear systems is proposed. This latter is structured by Wiener systems. This latter (Wiener models) consist of linear dynamic subsystem followed by a nonlinearity function. The nonlinear systems identification is an active research area.
Adil Brouri +2 more
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Nihon Kikai Gakkai ronbunshu, 2019 The author proposed the identification method of symmetric nonlinear system based on the Auto-Regressive analysis and the method of averaging in a previous paper.
Soichiro TAKATA
doaj +1 more source
Comparing system identification techniques for identifying human-like walking controllers
Royal Society Open Science, 2021 While human walking has been well studied, the exact controller is unknown. This paper used human experimental walking data and system identification techniques to infer a human-like controller for a spring-loaded inverted pendulum (SLIP) model.
Dave Schmitthenner, Anne E. Martin
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The wavelet-NARMAX representation : a hybrid model structure combining polynomial models with multiresolution wavelet decompositions [PDF]
, 2005 A new hybrid model structure combing polynomial models with multiresolution wavelet decompositions is introduced for nonlinear system identification.
Billings SA +25 more
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Modeling of Nonlinear SOEC Parameter System Based on Data-Driven Method
Atmosphere, 2023 Based on the basic nonlinear parameter system of the solid oxide electrolysis cell, the data-driven method was used for system identification. The basic model of the solid oxide electrolysis cell was accomplished in Simulink and experiments were ...
Dehao Hou +7 more
doaj +1 more source
Iterative procedures for identification of nonlinear interconnected systems [PDF]
, 2007 This work addresses the identification problem of a discrete-time nonlinear system composed by linear and nonlinear subsystems. Systems in this class will be represented by Linear Fractional Transformations.
Date, P, Pepona, E
core
From Nonlinear Identification to Linear Parameter Varying Models: Benchmark Examples
, 2018 Linear parameter-varying (LPV) models form a powerful model class to analyze and control a (nonlinear) system of interest. Identifying a LPV model of a nonlinear system can be challenging due to the difficulty of selecting the scheduling variable(s) a ...
Schoukens, Maarten, Tóth, Roland
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FEBS Letters, EarlyView.The Ile181Asn variant of human UDP‐xylose synthase (hUXS1), associated with a short‐stature genetic syndrome, has previously been reported as inactive. Our findings demonstrate that Ile181Asn‐hUXS1 retains catalytic activity similar to the wild‐type but exhibits reduced stability, a looser oligomeric state, and an increased tendency to precipitate ...
Tuo Li +2 more
wiley +1 more source