Article
Optimal Control of the Cantilever Plate using Neural Networks
Proceedings of the IEEE Conference on Decision and Control (1998, Tampa, FL)
Abstract
In this paper, a neural network based controller which optimizes a finite horizon quadratic cost function is developed for a class of nonlinear systems with unknown dynamics. The controller is applied to a cantilever plate. Two implementation methods are introduced. One utilizes a look-up table to obtain the control off-line. The other is a neural network controller. The open loop and close loop responses for both types of controllers are presented.
Meeting Name
37th IEEE Conference on Decision and Control (1998: Dec. 16-18, Tampa, FL)
Department(s)
Electrical and Computer Engineering
Sponsor(s)
National Science Foundation (U.S.)
Keywords and Phrases
- Cantilever plates,
- Closed loop control systems,
- Intelligent control,
- Iterative methods,
- Neural networks,
- Plates (structural components),
- Optimal control systems
International Standard Book Number (ISBN)
0-7803-4394-8
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 1998 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
12-1-1998
Publication Date
01 Dec 1998
Disciplines
Citation Information
Haitian Hu and Levent Acar. "Optimal Control of the Cantilever Plate using Neural Networks" Proceedings of the IEEE Conference on Decision and Control (1998, Tampa, FL) Vol. 1 (1998) p. 520 - 522 ISSN: 0191-2216 Available at: http://works.bepress.com/levent-acar/33/
This work has been supported by the NSF grant ECS9309486.