Results 21 to 30 of about 16,686,076 (335)
Robust nonlinear model identification methods using forward regression
, 2003 In this correspondence new robust nonlinear model construction algorithms for a large class of linear-in-the-parameters models are introduced to enhance model robustness via combined parameter regularization and new robust structural selective criteria ...
Hong, X. +3 more
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Dynamic modeling and identification of the Uniovi structure
International Journal for Simulation and Multidisciplinary Design Optimization, 2014 The nonlinear modeling and identification of a four-storey steel frame is presented in this paper. The bending modes of the frame were experimentally isolated by a single-point mono-harmonic excitation and used for identification purposes.
Zapico-Valle José Luis +1 more
doaj +1 more source
Nonparametric nonlinear model predictive control [PDF]
, 2004 Model Predictive Control (MPC) has recently found wide acceptance in industrial applications, but its potential has been much impeded by linear models due to the lack of a similarly accepted nonlinear modeling or databased technique.
Kashiwagi, H, Li, Y.
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Evolving Fuzzy Model Identification of Nonlinear Wiener-Hammerstein Processes
IEEE Access, 2021 This paper presents a new approach to neuro-fuzzy model identification based on a filtered recursive least squares method combined with an incrementally evolving Gaussian clustering method. The proposed identification algorithm generates the model on the
Goran Andonovski +2 more
doaj +1 more source
On the interpretation and identification of dynamic Takagi-Sugenofuzzy models [PDF]
, 2000 Dynamic Takagi-Sugeno fuzzy models are not always easy to interpret, in particular when they are identified from experimental data. It is shown that there exists a close relationship between dynamic Takagi-Sugeno fuzzy models and dynamic linearization ...
Murray-Smith, R. +5 more
core +1 more source
Alexandria Engineering Journal, 2020 Nonlinear identification of a narrow cantilever blade undergoing free vibration was studied. In the absence of forced excitation and because of general data deficiency of this system, the current identification methods cannot be applied with sufficient ...
Ibrahim Mahariq +4 more
doaj +1 more source
Parameter identification for Hammerstein nonlinear system with polynomial and state space model
Measurement + Control, 2023 This study investigates a two-stage parameter identification algorithm for the Hammerstein nonlinear system based on special test signals. The studied Hammerstein nonlinear system has a static nonlinear subsystem represented by polynomial basis function ...
Chenghao Li, Feng Li, Qingfeng Cao
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Data-Driven Identification of Nonlinear Flame Models [PDF]
Journal of Engineering for Gas Turbines and Power, 2020 Abstract This paper presents a data-driven identification framework with the objective to retrieve a flame model from the nonlinear limit cycle. The motivation is to identify a flame model for configurations, which do not allow the determination of the flame dynamics: that is commonly for industrial applications where (i) optical access ...
Ghani, Abdulla +2 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
System identification of nonlinear state-space models
Automatica, 2011 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Thomas B. Schön +2 more
openaire +4 more sources