Adaptive Neural Gradient Descent Control for a Class of Nonlinear Dynamic Systems with Chaotic Phenomenon
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-03-02
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
A neural network controller design is studied for a class of nonlinear chaotic systems with uncertain parameters.
Because the chaos phenomena are often in this class of systems, it is indispensable to control this class of systems.
At the same time, due to the presence of uncertainties in the chaotic systems, it results in the difficulties of the controller design.
The neural networks are employed to estimate the uncertainties of the systems and a controller is designed to overcome the chaos phenomena.
The main contribution of this paper is that the adaptation law can be determined via the gradient descent algorithm to minimize a cost function of error.
It can prove the stability of the closed-loop system.
The numerical simulation is specified to pinpoint the validation of the approach.
American Psychological Association (APA)
Liu, Xiujuan& Lan, Tian. 2015. Adaptive Neural Gradient Descent Control for a Class of Nonlinear Dynamic Systems with Chaotic Phenomenon. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-6.
https://search.emarefa.net/detail/BIM-1074979
Modern Language Association (MLA)
Liu, Xiujuan& Lan, Tian. Adaptive Neural Gradient Descent Control for a Class of Nonlinear Dynamic Systems with Chaotic Phenomenon. Mathematical Problems in Engineering No. 2015 (2015), pp.1-6.
https://search.emarefa.net/detail/BIM-1074979
American Medical Association (AMA)
Liu, Xiujuan& Lan, Tian. Adaptive Neural Gradient Descent Control for a Class of Nonlinear Dynamic Systems with Chaotic Phenomenon. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-6.
https://search.emarefa.net/detail/BIM-1074979
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1074979