A dynamic backpropagation algorithm with application to gain-scheduled aircraft flight control system design

Jianliang Wang, Weiqiang Zhang

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

The authors introduce a dynamic backpropagation algorithm for continuous-time dynamic neural fuzzy systems, as a generalization of the standard backpropagation algorithm for feedforward neural network systems. The proposed algorithm is applied to the design and training of a fuzzy-gain-scheduler for an aircraft flight control system. The trained control system is tested on a full-fledged six-degree-of-freedom nonlinear aircraft simulation package. Simulation results show that significant improvement is achieved through training of the fuzzy-gain-scheduler by using the proposed dynamic backpropagation algorithm.

Original languageEnglish
Title of host publicationProceedings - Intelligent Information Systems, IIS 1997
EditorsHojjat Adeli
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages133-137
Number of pages5
ISBN (Electronic)0818682183, 9780818682186
DOIs
Publication statusPublished - 1997
Externally publishedYes
Event1997 International Conference on Intelligent Information Systems, IIS 1997 - Grand Bahama Island, Bahamas
Duration: 8 Dec 199710 Dec 1997

Publication series

NameProceedings - Intelligent Information Systems, IIS 1997

Conference

Conference1997 International Conference on Intelligent Information Systems, IIS 1997
Country/TerritoryBahamas
CityGrand Bahama Island
Period8/12/9710/12/97

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Hardware and Architecture
  • Information Systems
  • Information Systems and Management

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