Neuro-Self Tuning Adaptive Controller for Non-Linear Dynamical Systems
In this paper, a self-tuning adaptive neural controller strategy for unknown nonlinear system is presented. The system considered is described by an unknown NARMA-L2 model and a feedforward neural network is used to learn the model with two stages. The first stage is learned off-line with two config...
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Al-Khwarizmi College of Engineering – University of Baghdad
2005
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oai:doaj.org-article:680b15abd9044f779cd1143d1f43f2902021-12-02T04:16:49ZNeuro-Self Tuning Adaptive Controller for Non-Linear Dynamical Systems1818-1171https://doaj.org/article/680b15abd9044f779cd1143d1f43f2902005-01-01T00:00:00Zhttp://www.iasj.net/iasj?func=fulltext&aId=24987https://doaj.org/toc/1818-1171In this paper, a self-tuning adaptive neural controller strategy for unknown nonlinear system is presented. The system considered is described by an unknown NARMA-L2 model and a feedforward neural network is used to learn the model with two stages. The first stage is learned off-line with two configuration serial-parallel model & parallel model to ensure that model output is equal to actual output of the system & to find the jacobain of the system. Which appears to be of critical importance parameter as it is used for the feedback controller and the second stage is learned on-line to modify the weights of the model in order to control the variable parameters that will occur to the system. A back propagation neural network is applied to learn the control structure for self-tuning PID type neuro-controller. Where the neural network is used to minimize the error function by adjusting the PID gains. Simulation results show that the self-tuning PID scheme can deal with a large unknown nonlinearity.Ahmed Sabah Abdul Ameer Al-ArajiAl-Khwarizmi College of Engineering – University of BaghdadarticleSelf-Tuning,Neuro NetworkAdaptive Controller.Chemical engineeringTP155-156Engineering (General). Civil engineering (General)TA1-2040ENAl-Khawarizmi Engineering Journal, Vol 1, Iss 1, Pp 1-18 (2005) |
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DOAJ |
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Self-Tuning,Neuro Network Adaptive Controller. Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040 |
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Self-Tuning,Neuro Network Adaptive Controller. Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040 Ahmed Sabah Abdul Ameer Al-Araji Neuro-Self Tuning Adaptive Controller for Non-Linear Dynamical Systems |
description |
In this paper, a self-tuning adaptive neural controller strategy for unknown nonlinear system is presented. The system considered is described by an unknown NARMA-L2 model and a feedforward neural network is used to learn the model with two stages. The first stage is learned off-line with two configuration serial-parallel model & parallel model to ensure that model output is equal to actual output of the system & to find the jacobain of the system. Which appears to be of critical importance parameter as it is used for the feedback controller and the second stage is learned on-line to modify the weights of the model in order to control the variable parameters that will occur to the system. A back propagation neural network is applied to learn the control structure for self-tuning PID type neuro-controller. Where the neural network is used to minimize the error function by adjusting the PID gains. Simulation results show that the self-tuning PID scheme can deal with a large unknown nonlinearity. |
format |
article |
author |
Ahmed Sabah Abdul Ameer Al-Araji |
author_facet |
Ahmed Sabah Abdul Ameer Al-Araji |
author_sort |
Ahmed Sabah Abdul Ameer Al-Araji |
title |
Neuro-Self Tuning Adaptive Controller for Non-Linear Dynamical Systems |
title_short |
Neuro-Self Tuning Adaptive Controller for Non-Linear Dynamical Systems |
title_full |
Neuro-Self Tuning Adaptive Controller for Non-Linear Dynamical Systems |
title_fullStr |
Neuro-Self Tuning Adaptive Controller for Non-Linear Dynamical Systems |
title_full_unstemmed |
Neuro-Self Tuning Adaptive Controller for Non-Linear Dynamical Systems |
title_sort |
neuro-self tuning adaptive controller for non-linear dynamical systems |
publisher |
Al-Khwarizmi College of Engineering – University of Baghdad |
publishDate |
2005 |
url |
https://doaj.org/article/680b15abd9044f779cd1143d1f43f290 |
work_keys_str_mv |
AT ahmedsabahabdulameeralaraji neuroselftuningadaptivecontrollerfornonlineardynamicalsystems |
_version_ |
1718401315671900160 |