Title

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.

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.)

Comments

This work has been supported by the NSF grant ECS9309486.

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.

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