Adaptive Control Using Neural Networks and Approximate Models for Nonlinear Dynamic Systems
In this research, a comparative study of two recurrent neural networks, nonlinear autoregressive with exogenous input (NARX) neural network and nonlinear autoregressive moving average (NARMA-L2), and a feedforward neural network (FFNN) is performed for their ability to provide adaptive control of no...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Modelling and Simulation in Engineering |
| Online Access: | http://dx.doi.org/10.1155/2020/8642915 |
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| _version_ | 1832550573090537472 |
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| author | Khadija El Hamidi Mostafa Mjahed Abdeljalil El Kari Hassan Ayad |
| author_facet | Khadija El Hamidi Mostafa Mjahed Abdeljalil El Kari Hassan Ayad |
| author_sort | Khadija El Hamidi |
| collection | DOAJ |
| description | In this research, a comparative study of two recurrent neural networks, nonlinear autoregressive with exogenous input (NARX) neural network and nonlinear autoregressive moving average (NARMA-L2), and a feedforward neural network (FFNN) is performed for their ability to provide adaptive control of nonlinear systems. Three dynamical nonlinear systems of different complexity are considered. The aim of this work is to make the output of the plant follow the desired reference trajectory. The problem becomes more challenging when the dynamics of the plants are assumed to be unknown, and to tackle this problem, a multilayer neural network-based approximate model is set up which will work in parallel to the plant and the control scheme. The network parameters are updated using the dynamic backpropagation (BP) algorithm. |
| format | Article |
| id | doaj-art-90ce90247eb545bf89313dc8b3f9642e |
| institution | Kabale University |
| issn | 1687-5591 1687-5605 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Modelling and Simulation in Engineering |
| spelling | doaj-art-90ce90247eb545bf89313dc8b3f9642e2025-02-03T06:06:29ZengWileyModelling and Simulation in Engineering1687-55911687-56052020-01-01202010.1155/2020/86429158642915Adaptive Control Using Neural Networks and Approximate Models for Nonlinear Dynamic SystemsKhadija El Hamidi0Mostafa Mjahed1Abdeljalil El Kari2Hassan Ayad3Laboratory of Electric Systems and Telecommunications, Cadi-Ayyad University, Marrakesh 4000, MoroccoMathematics and Systems Department, Royal School of Aeronautics, Marrakesh 40000, MoroccoLaboratory of Electric Systems and Telecommunications, Cadi-Ayyad University, Marrakesh 4000, MoroccoLaboratory of Electric Systems and Telecommunications, Cadi-Ayyad University, Marrakesh 4000, MoroccoIn this research, a comparative study of two recurrent neural networks, nonlinear autoregressive with exogenous input (NARX) neural network and nonlinear autoregressive moving average (NARMA-L2), and a feedforward neural network (FFNN) is performed for their ability to provide adaptive control of nonlinear systems. Three dynamical nonlinear systems of different complexity are considered. The aim of this work is to make the output of the plant follow the desired reference trajectory. The problem becomes more challenging when the dynamics of the plants are assumed to be unknown, and to tackle this problem, a multilayer neural network-based approximate model is set up which will work in parallel to the plant and the control scheme. The network parameters are updated using the dynamic backpropagation (BP) algorithm.http://dx.doi.org/10.1155/2020/8642915 |
| spellingShingle | Khadija El Hamidi Mostafa Mjahed Abdeljalil El Kari Hassan Ayad Adaptive Control Using Neural Networks and Approximate Models for Nonlinear Dynamic Systems Modelling and Simulation in Engineering |
| title | Adaptive Control Using Neural Networks and Approximate Models for Nonlinear Dynamic Systems |
| title_full | Adaptive Control Using Neural Networks and Approximate Models for Nonlinear Dynamic Systems |
| title_fullStr | Adaptive Control Using Neural Networks and Approximate Models for Nonlinear Dynamic Systems |
| title_full_unstemmed | Adaptive Control Using Neural Networks and Approximate Models for Nonlinear Dynamic Systems |
| title_short | Adaptive Control Using Neural Networks and Approximate Models for Nonlinear Dynamic Systems |
| title_sort | adaptive control using neural networks and approximate models for nonlinear dynamic systems |
| url | http://dx.doi.org/10.1155/2020/8642915 |
| work_keys_str_mv | AT khadijaelhamidi adaptivecontrolusingneuralnetworksandapproximatemodelsfornonlineardynamicsystems AT mostafamjahed adaptivecontrolusingneuralnetworksandapproximatemodelsfornonlineardynamicsystems AT abdeljalilelkari adaptivecontrolusingneuralnetworksandapproximatemodelsfornonlineardynamicsystems AT hassanayad adaptivecontrolusingneuralnetworksandapproximatemodelsfornonlineardynamicsystems |