Adaptive Neural Networks Synchronization of a Four-Dimensional Energy Resource Stochastic System
Author
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-03-02
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Meng, Duo. 2014. Adaptive Neural Networks Synchronization of a Four-Dimensional Energy Resource Stochastic System. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1014947
Modern Language Association (MLA)
Meng, Duo. Adaptive Neural Networks Synchronization of a Four-Dimensional Energy Resource Stochastic System. Abstract and Applied Analysis No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-1014947
American Medical Association (AMA)
Meng, Duo. Adaptive Neural Networks Synchronization of a Four-Dimensional Energy Resource Stochastic System. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1014947
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1014947