ADAPTIVE FUZZY CONTROL CONCEPTS AND SURVEY
In this paper an adaptive fuzzy control concepts and survey are introduced. Starting with the global adaptive control towered the adaptive fuzzy control, the required concepts are explained. Some of the adaptive fuzzy control subjects are viewed as sequential steps with simplifying their views to en...
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Mustansiriyah University/College of Engineering
2021
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oai:doaj.org-article:1c3df1ceb5f64085be1923585c6345592021-11-10T10:34:19ZADAPTIVE FUZZY CONTROL CONCEPTS AND SURVEY10.31272/jeasd.25.6.52520-09172520-0925https://doaj.org/article/1c3df1ceb5f64085be1923585c6345592021-11-01T00:00:00Zhttps://www.iasj.net/iasj/download/1608d0e128e2acabhttps://doaj.org/toc/2520-0917https://doaj.org/toc/2520-0925In this paper an adaptive fuzzy control concepts and survey are introduced. Starting with the global adaptive control towered the adaptive fuzzy control, the required concepts are explained. Some of the adaptive fuzzy control subjects are viewed as sequential steps with simplifying their views to enable the reader to get a fast and global idea with some details if it is necessary. Most of the stability considerations in the corresponding references are proved by using the lyapunov criteria, where the derivation is a mathematical concept with long steps. Therefore, it is mentioned without details, and for more information, the corresponding reference must be studied. It can be seen from this topic, that the main role of the fuzzy system in adaptive control is the system identification, controller construction and output predictor. The adaptive fuzzy control survey is presented at the end, so the reader can go along with the topics after he reviewed the necessary concepts.Qays J. AljewariMustansiriyah University/College of Engineeringarticlefuzzy adaptive controlnonlinear systemfeedback linearizationback steppingadaptive control directionnussbaum gain functionEngineering (General). Civil engineering (General)TA1-2040ARENJournal of Engineering and Sustainable Development, Vol 25, Iss 6, Pp 40-55 (2021) |
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fuzzy adaptive control nonlinear system feedback linearization back stepping adaptive control direction nussbaum gain function Engineering (General). Civil engineering (General) TA1-2040 |
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fuzzy adaptive control nonlinear system feedback linearization back stepping adaptive control direction nussbaum gain function Engineering (General). Civil engineering (General) TA1-2040 Qays J. Aljewari ADAPTIVE FUZZY CONTROL CONCEPTS AND SURVEY |
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In this paper an adaptive fuzzy control concepts and survey are introduced. Starting with the global adaptive control towered the adaptive fuzzy control, the required concepts are explained. Some of the adaptive fuzzy control subjects are viewed as sequential steps with simplifying their views to enable the reader to get a fast and global idea with some details if it is necessary. Most of the stability considerations in the corresponding references are proved by using the lyapunov criteria, where the derivation is a mathematical concept with long steps. Therefore, it is mentioned without details, and for more information, the corresponding reference must be studied. It can be seen from this topic, that the main role of the fuzzy system in adaptive control is the system identification, controller construction and output predictor. The adaptive fuzzy control survey is presented at the end, so the reader can go along with the topics after he reviewed the necessary concepts. |
format |
article |
author |
Qays J. Aljewari |
author_facet |
Qays J. Aljewari |
author_sort |
Qays J. Aljewari |
title |
ADAPTIVE FUZZY CONTROL CONCEPTS AND SURVEY |
title_short |
ADAPTIVE FUZZY CONTROL CONCEPTS AND SURVEY |
title_full |
ADAPTIVE FUZZY CONTROL CONCEPTS AND SURVEY |
title_fullStr |
ADAPTIVE FUZZY CONTROL CONCEPTS AND SURVEY |
title_full_unstemmed |
ADAPTIVE FUZZY CONTROL CONCEPTS AND SURVEY |
title_sort |
adaptive fuzzy control concepts and survey |
publisher |
Mustansiriyah University/College of Engineering |
publishDate |
2021 |
url |
https://doaj.org/article/1c3df1ceb5f64085be1923585c634559 |
work_keys_str_mv |
AT qaysjaljewari adaptivefuzzycontrolconceptsandsurvey |
_version_ |
1718439959467130880 |