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Optimal Control of the Cantilever Plate using Neural Networks

Research output: Contribution to journalArticlepeer-review

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.

Original languageAmerican English
Pages (from-to)520-522
Number of pages3
JournalProceedings of the IEEE Conference on Decision and Control (1998, Tampa, FL)
Volume1
DOIs
StatePublished - Dec 1 1998
EventProceedings of the 1998 37th IEEE Conference on Decision and Control (CDC) - Tampa, FL, USA
Duration: Dec 16 1998Dec 18 1998

ASJC Scopus Subject Areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization

Keywords

  • Cantilever plates
  • Closed loop control systems
  • Intelligent control
  • Iterative methods
  • Neural networks
  • Optimal control systems
  • Plates (structural components)

Disciplines

  • Electrical and Computer Engineering

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