Cubic neural unit for control applications

K. Y. Song, S. Redlapalli, M. M. Gupta*

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

6 Citations (Scopus)

Abstract

A novel neural structure called a cubic neural unit (CNU) is developed. The CNU can be used as a nonlinear controller for controlling the continuous dynamic plants. The structure and the mathematical details of the CNU are described briefly, and an example is used to show the usefulness of the CNU as a nonlinear controller. Neural structures, linear and quadratic, are used as state controllers for complex control systems such as satellite control. Results of all neural structures as neurocontrollers are shown.

Original languageEnglish
Title of host publication4th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2003
EditorsNii O. Attoh-Okine, Bilal M. Ayyub
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages324-329
Number of pages6
ISBN (Electronic)0769519970, 9780769519975
DOIs
Publication statusPublished - 2003
Externally publishedYes
Event4th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2003 - College Park, United States
Duration: 21 Sept 200324 Sept 2003

Publication series

Name4th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2003

Conference

Conference4th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2003
Country/TerritoryUnited States
CityCollege Park
Period21/09/0324/09/03

Keywords

  • Control systems
  • Differential equations
  • Feedforward neural networks
  • Intelligent systems
  • Mechanical engineering
  • Multi-layer neural network
  • Neural networks
  • Neurons
  • Nonlinear systems
  • Satellites

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