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Published in 2017 at "International Journal of Control, Automation and Systems"
DOI: 10.1007/s12555-015-0309-3
Abstract: This paper presents two adaptive neural-fuzzy controllers equipped with compensatory fuzzy control in order to adjust membership functions, and as well to optimize the adaptive reasoning by using a compensatory learning algorithm. To the first…
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Keywords:
system;
fuzzy;
control;
fuzzy controllers ... See more keywords
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Published in 2021 at "Journal of environmental chemical engineering"
DOI: 10.1016/j.jece.2021.106029
Abstract: Abstract Considering that awareness of the effects of changes in the important operating variables of a wastewater treatment reactor is essential for its designing and maximizing efficiency, this study is focused on prediction and optimization…
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Keywords:
neural fuzzy;
baffled reactor;
prediction;
performance prediction ... See more keywords
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Published in 2019 at "Materials and Manufacturing Processes"
DOI: 10.1080/10426914.2018.1512116
Abstract: ABSTRACT This article addresses the optimization of curing process for thick composite laminates. The proposed methodology aims at the evaluation of the thermal cycle promoting a desired evolution of the degree of cure inside the…
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Keywords:
fuzzy optimization;
neural fuzzy;
optimization thick;
cure ... See more keywords
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Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2880464
Abstract: Traditional disturbance observer techniques have limitations for multi-input multi-output-coupled systems, time-varying systems with large parameters, and complex systems which are difficult to obtain accurate model, such as the human musculoskeletal arm system. The neural network…
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Keywords:
system;
control;
disturbance observer;
neural fuzzy ... See more keywords
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Published in 2020 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2019.2907513
Abstract: This paper proposes a new reinforcement neural fuzzy surrogate (RNFS)-assisted multiobjective evolutionary optimization (RNFS-MEO) algorithm to boost the learning efficiency of data-driven fuzzy controllers (FCs). The RNFS-MEO is applied to evolve a population of FCs…
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Keywords:
neural fuzzy;
control;
rnfs meo;
reinforcement neural ... See more keywords
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Published in 2023 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2021.3133893
Abstract: This article investigates the local linear model tree (LOLIMOT), a typical neural fuzzy model, in the multiple-input–multiple-output model predictive control (MPC). In the conventional LOLIMOT, the structural parameters including centers and variances of its Gaussian…
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Keywords:
structurally optimized;
neural fuzzy;
model;
predictive control ... See more keywords
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Published in 2018 at "Advances in Civil Engineering"
DOI: 10.1155/2018/2451915
Abstract: When inspecting the property of material, nondestructive testing methods are more preferable than destructive testing since they do not damage the test sample. Nondestructive testing methods, however, might not yield the same accurate results in…
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Keywords:
pulse velocity;
ultrasonic pulse;
nondestructive testing;
neural fuzzy ... See more keywords
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Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/5832043
Abstract: The present study aims to design a robust adaptive controller employed in the active tuned mass damper (ATMD) system to overcome undesirable vibrations in multistory buildings under seismic excitations. We propose a novel adaptive type-2…
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Keywords:
adaptive type;
controller;
neural fuzzy;
adaptive controller ... See more keywords
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3
Published in 2023 at "International Journal of Engine Research"
DOI: 10.1177/14680874221133213
Abstract: Internal combustion engines are considered primarily responsible for air pollution. Accordingly, a concentrated effort has been made to reduce these pollutants which are emitted from the exhaust system of these engines while preserving energy and…
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Keywords:
system;
adaptive neural;
fuzzy inference;
neural fuzzy ... See more keywords