Error‐triggered on‐line model identification for model‐based feedback control
Sign Up to like & getrecommendations! Published in 2017 at "Aiche Journal"
DOI: 10.1002/aic.15430
Abstract: In industry, it may be difficult in many applications to obtain a first-principles model of the process, in which case a linear empirical model constructed using process data may be used in the design of… read more here.
Keywords: line; error; control; model ... See more keywords
Fuzzy Model Identification and Self Learning with Smooth Compositions
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Fuzzy Systems"
DOI: 10.1007/s40815-019-00725-8
Abstract: This paper develops a smooth model identification and self-learning strategy for dynamic systems taking into account possible parameter variations and uncertainties. We have tried to solve the problem such that the model follows the changes… read more here.
Keywords: self learning; model; fuzzy model; identification self ... See more keywords
Dynamic model identification of unmanned surface vehicles using deep learning network
Sign Up to like & getrecommendations! Published in 2018 at "Applied Ocean Research"
DOI: 10.1016/j.apor.2018.06.011
Abstract: Abstract In this paper, a deep learning–based dynamic model identification method is proposed. The proposed method is designed to capture higher-order dynamic behaviors that result from the coupling of hydrodynamics and actuator dynamics. By adopting… read more here.
Keywords: model identification; model; dynamic model; deep learning ... See more keywords
Optimal model identification of the PEMFCs using optimized Rotor Hopfield Neural Network
Sign Up to like & getrecommendations! Published in 2021 at "Energy Reports"
DOI: 10.1016/j.egyr.2021.06.052
Abstract: Abstract In this paper, a new effective technique is presented for model identification of the Proton-exchange membrane (PEM) fuel cells by a new hybrid model of Rotor Hopfield Neural Network (RHNN). The concept is to… read more here.
Keywords: neural network; model identification; model; hopfield neural ... See more keywords
ARMA model identification from noisy observations based on a two-step errors-in-variables approach
Sign Up to like & getrecommendations! Published in 2017 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2017.08.1857
Abstract: Abstract This paper proposes a new method for identifying ARMA models in the presence of additive white noise. The method operates with two main steps. First, the noisy ARMA model is approximated by the sum… read more here.
Keywords: variables approach; errors variables; arma model; model ... See more keywords
Analysis of Experimental Conditions, Measurement Strategies, and Model Identification Approaches on Parameter Estimation in Plug Flow Reactors
Sign Up to like & getrecommendations! Published in 2019 at "Industrial & Engineering Chemistry Research"
DOI: 10.1021/acs.iecr.9b00266
Abstract: Continuous flow reactors such as plug flow reactors (PFRs) have been used in the identification of reaction systems (Moore, J. S.; Jensen, K. F. Angew. Chem. 2014, 126, 480−483). It is important to understand the… read more here.
Keywords: model identification; measurement strategies; flow reactors; conditions measurement ... See more keywords
Model Identification and Control of Electromagnetic Actuation in Continuous Casting Process With Improved Quality
Sign Up to like & getrecommendations! Published in 2023 at "IEEE/CAA Journal of Automatica Sinica"
DOI: 10.1109/jas.2023.123027
Abstract: This paper presents an original theoretical frame-work to model steel material properties in continuous casting line process. Specific properties arising from non-Newtonian dynamics are herein used to indicate the natural convergence of distributed parameter systems… read more here.
Keywords: quality; control; continuous casting; process ... See more keywords
“Define Yourself. . . #EXSTpride”: Exploring an Organizational Hashtag Through the Structurational Model of Identification
Sign Up to like & getrecommendations! Published in 2022 at "Management Communication Quarterly"
DOI: 10.1177/08933189221095597
Abstract: Recent studies have established a relationship between social media use and organizational identification, but scholars have yet to understand how communication through social media might foster individuals’ identification. To fill that gap, I use structuration… read more here.
Keywords: organizational hashtag; model identification; identification; structurational model ... See more keywords
Fixed-Rate Universal Lossy Source Coding and Model Identification: Connection with Zero-Rate Density Estimation and the Skeleton Estimator
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DOI: 10.3390/e20090640
Abstract: This work demonstrates a formal connection between density estimation with a data-rate constraint and the joint objective of fixed-rate universal lossy source coding and model identification introduced by Raginsky in 2008 (IEEE TIT, 2008, 54,… read more here.
Keywords: coding model; source coding; universal lossy; rate ... See more keywords