Neural Predictive Control of Unknown Chaotic Systems
In this work, a neural networks is developed for modelling and controlling a chaotic system based on measured input-output data pairs. In the chaos modelling phase, a neural network is trained on the unknown system. Then, a predictive control mechanism has been implemented with the neural networks t...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Vilnius University Press
2005-04-01
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| Series: | Nonlinear Analysis |
| Subjects: | |
| Online Access: | http://www.zurnalai.vu.lt/nonlinear-analysis/article/view/15125 |
| _version_ | 1818349228852772864 |
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| author | A. Boukabou N. Mansouri |
| author_facet | A. Boukabou N. Mansouri |
| author_sort | A. Boukabou |
| collection | DOAJ |
| description | In this work, a neural networks is developed for modelling and controlling a chaotic system based on measured input-output data pairs. In the chaos modelling phase, a neural network is trained on the unknown system. Then, a predictive control mechanism has been implemented with the neural networks to reach the close neighborhood of the chosen unstable fixed point embedded in the chaotic systems. Effectiveness of the proposed method for both modelling and prediction-based control on the chaotic logistic equation and Hénon map has been demonstrated. |
| first_indexed | 2024-12-13T18:02:37Z |
| format | Article |
| id | doaj.art-88b01c47390247ce884b9975e21cf14c |
| institution | Directory Open Access Journal |
| issn | 1392-5113 2335-8963 |
| language | English |
| last_indexed | 2024-12-13T18:02:37Z |
| publishDate | 2005-04-01 |
| publisher | Vilnius University Press |
| record_format | Article |
| series | Nonlinear Analysis |
| spelling | doaj.art-88b01c47390247ce884b9975e21cf14c2022-12-21T23:36:09ZengVilnius University PressNonlinear Analysis1392-51132335-89632005-04-0110210.15388/NA.2005.10.2.15125Neural Predictive Control of Unknown Chaotic SystemsA. Boukabou0N. Mansouri1Jijel University, AlgeriaMentouri University, AlgeriaIn this work, a neural networks is developed for modelling and controlling a chaotic system based on measured input-output data pairs. In the chaos modelling phase, a neural network is trained on the unknown system. Then, a predictive control mechanism has been implemented with the neural networks to reach the close neighborhood of the chosen unstable fixed point embedded in the chaotic systems. Effectiveness of the proposed method for both modelling and prediction-based control on the chaotic logistic equation and Hénon map has been demonstrated.http://www.zurnalai.vu.lt/nonlinear-analysis/article/view/15125chaosneural networkspredictive control |
| spellingShingle | A. Boukabou N. Mansouri Neural Predictive Control of Unknown Chaotic Systems Nonlinear Analysis chaos neural networks predictive control |
| title | Neural Predictive Control of Unknown Chaotic Systems |
| title_full | Neural Predictive Control of Unknown Chaotic Systems |
| title_fullStr | Neural Predictive Control of Unknown Chaotic Systems |
| title_full_unstemmed | Neural Predictive Control of Unknown Chaotic Systems |
| title_short | Neural Predictive Control of Unknown Chaotic Systems |
| title_sort | neural predictive control of unknown chaotic systems |
| topic | chaos neural networks predictive control |
| url | http://www.zurnalai.vu.lt/nonlinear-analysis/article/view/15125 |
| work_keys_str_mv | AT aboukabou neuralpredictivecontrolofunknownchaoticsystems AT nmansouri neuralpredictivecontrolofunknownchaoticsystems |