Neural network‐based offset‐free model predictive control for nonlinear systems
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DOI: 10.1002/aic.70141
Abstract: This paper proposes an offset‐free model predictive control (MPC) framework for nonlinear systems modeled using neural network‐based nonlinear autoregressive models with exogenous inputs (NARX). To address plant‐model mismatch and ensure offset‐free tracking, the NARX model… read more here.
Keywords: model predictive; offset free; predictive control; model ... See more keywords
Kinetics of crystallization in 13.2Li2O-67.6SiO2-14.49Al2O3-3.3TiO2-0.4BaO-0.97ZnO glass ceramic powder: Part I: A model-free vs. model-fitting approach
Sign Up to like & getrecommendations! Published in 2019 at "Ceramics International"
DOI: 10.1016/j.ceramint.2019.01.214
Abstract: Abstract Crystallization kinetics of lithium aluminosilicate glass powder has been investigated by model-free and model–fitting methods. Non-isothermal experiments were carried out using differential scanning calorimetry (DSC) to monitor crystallization behavior. Model-free activation energy has been… read more here.
Keywords: model free; model; free model; model fitting ... See more keywords
The Impact of Imposing Equality Constraints on Residual Variances Across Classes in Regression Mixture Models
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DOI: 10.3389/fpsyg.2021.736132
Abstract: The purpose of this study is to explore the impact of constraining class-specific residual variances to be equal by examining and comparing the parameter estimation of a free model and a constrained model under various… read more here.
Keywords: equality constraints; class; residual variances; free model ... See more keywords