Adaptive neural networks synchronization of a four-dimensional energy resource stochastic system
type: Item
instance of: scholarly article
title: Adaptive neural networks synchronization of a four-dimensional energy resource stochastic system
zbMATH Open document ID: 1406.93170
DOI: 10.1155/2014/863902
author: Duo Meng
published in: Abstract and Applied Analysis
publication date: 2019-02-14T00:00:00Z
review text: Summary: 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.
Mathematics Subject Classification ID: 93C40
Mathematics Subject Classification ID: 93C10
Mathematics Subject Classification ID: 93A15
Mathematics Subject Classification ID: 93C95
Mathematics Subject Classification ID: 93E15
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 7023218
zbMATH Keywords: adaptive neural networks synchronization
zbMATH Keywords: energy resource stochastic system
Wikidata QID: Q59042140
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2014/863902
OpenAlex ID: W1976153419
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description: scientific article; zbMATH DE number 7023218