Adaptive Neural Networks Synchronization of a Four-Dimensional Energy Resource Stochastic System
An adaptive neural networks chaos synchronization control method is proposed for a four-dimensional energy resource demand-supply system with input constraints. Assuming the response system contains unknown uncertain nonlinearities and unknown stochastic disturbances, the neural networks and robust...
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | Abstract and Applied Analysis |
| Online Access: | http://dx.doi.org/10.1155/2014/863902 |
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| _version_ | 1832553211864547328 |
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| author | Duo Meng |
| author_facet | Duo Meng |
| author_sort | Duo Meng |
| collection | DOAJ |
| description | An adaptive neural networks chaos synchronization control method is proposed for a four-dimensional energy resource demand-supply system with input constraints. Assuming the response system contains unknown uncertain nonlinearities and unknown stochastic disturbances, the neural networks and robust terms are used to identify the nonlinearities and overcome the stochastic disturbances, respectively. Based on stochastic Lyapunov stability and robust adaptive theories, an adaptive neural networks synchronization control method is developed. In the design process, an auxiliary design system is employed to address input constraints. Simulation results, which fully coincide with theoretical results, are presented to demonstrate the obtained results. |
| format | Article |
| id | doaj-art-9ccf6928e7634f86a02c8c2cb34cc965 |
| institution | Kabale University |
| issn | 1085-3375 1687-0409 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Abstract and Applied Analysis |
| spelling | doaj-art-9ccf6928e7634f86a02c8c2cb34cc9652025-02-03T05:55:17ZengWileyAbstract and Applied Analysis1085-33751687-04092014-01-01201410.1155/2014/863902863902Adaptive Neural Networks Synchronization of a Four-Dimensional Energy Resource Stochastic SystemDuo Meng0School of Civil and Architectural Engineering, Liaoning University of Technology, Jinzhou 121001, ChinaAn adaptive neural networks chaos synchronization control method is proposed for a four-dimensional energy resource demand-supply system with input constraints. Assuming the response system contains unknown uncertain nonlinearities and unknown stochastic disturbances, the neural networks and robust terms are used to identify the nonlinearities and overcome the stochastic disturbances, respectively. Based on stochastic Lyapunov stability and robust adaptive theories, an adaptive neural networks synchronization control method is developed. In the design process, an auxiliary design system is employed to address input constraints. Simulation results, which fully coincide with theoretical results, are presented to demonstrate the obtained results.http://dx.doi.org/10.1155/2014/863902 |
| spellingShingle | Duo Meng Adaptive Neural Networks Synchronization of a Four-Dimensional Energy Resource Stochastic System Abstract and Applied Analysis |
| title | Adaptive Neural Networks Synchronization of a Four-Dimensional Energy Resource Stochastic System |
| title_full | Adaptive Neural Networks Synchronization of a Four-Dimensional Energy Resource Stochastic System |
| title_fullStr | Adaptive Neural Networks Synchronization of a Four-Dimensional Energy Resource Stochastic System |
| title_full_unstemmed | Adaptive Neural Networks Synchronization of a Four-Dimensional Energy Resource Stochastic System |
| title_short | Adaptive Neural Networks Synchronization of a Four-Dimensional Energy Resource Stochastic System |
| title_sort | adaptive neural networks synchronization of a four dimensional energy resource stochastic system |
| url | http://dx.doi.org/10.1155/2014/863902 |
| work_keys_str_mv | AT duomeng adaptiveneuralnetworkssynchronizationofafourdimensionalenergyresourcestochasticsystem |