Optimal Control of the Cantilever Plate using Neural Networks
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.
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
37th IEEE Conference on Decision and Control (1998: Dec. 16-18, Tampa, FL)
Electrical and Computer Engineering
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)
International Standard Serial Number (ISSN)
Article - Conference proceedings
© 1998 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
01 Dec 1998