Optimal Control of the Cantilever Plate using Neural Networks
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.
Recommended Citation
H. Hu and L. Acar, "Optimal Control of the Cantilever Plate using Neural Networks," Proceedings of the IEEE Conference on Decision and Control (1998, Tampa, FL), vol. 1, pp. 520 - 522, Institute of Electrical and Electronics Engineers (IEEE), Dec 1998.
The definitive version is available at https://doi.org/10.1109/CDC.1998.760730
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
International Standard Serial Number (ISSN)
0191-2216
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
01 Dec 1998
Comments
This work has been supported by the NSF grant ECS9309486.