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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Main Author:	Duo Meng
Format:	Article
Language:	English
Published:	Hindawi Limited 2014-01-01
Series:	Abstract and Applied Analysis
Online Access:	http://dx.doi.org/10.1155/2014/863902

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spelling	doaj-9ccf6928e7634f86a02c8c2cb34cc9652020-11-24T22:26:39ZengHindawi LimitedAbstract 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
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Duo Meng
spellingShingle	Duo Meng Adaptive Neural Networks Synchronization of a Four-Dimensional Energy Resource Stochastic System Abstract and Applied Analysis
author_facet	Duo Meng
author_sort	Duo Meng
title	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_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_sort	adaptive neural networks synchronization of a four-dimensional energy resource stochastic system
publisher	Hindawi Limited
series	Abstract and Applied Analysis
issn	1085-3375 1687-0409
publishDate	2014-01-01
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.
url	http://dx.doi.org/10.1155/2014/863902
work_keys_str_mv	AT duomeng adaptiveneuralnetworkssynchronizationofafourdimensionalenergyresourcestochasticsystem
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Adaptive Neural Networks Synchronization of a Four-Dimensional Energy Resource Stochastic System

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