Neural network control of a gas turbine

Ian Nabney, D.C. Cressy

Research output: Contribution to journalArticle (Academic Journal)peer-review

13 Citations (Scopus)


In this paper we explore the practical use of neural networks for controlling complex non-linear systems. The system used to demonstrate this approach is a simulation of a gas turbine engine typical of those used to power commercial aircraft. The novelty of the work lies in the requirement for multiple controllers which are used to maintain system variables in safe operating regions as well as governing the engine thrust.
Original languageUndefined/Unknown
Pages (from-to)198-208
Number of pages11
JournalNeural Computing and Applications
Issue number4
Publication statusPublished - 1996

Bibliographical note

Copyright 2004 Elsevier Science B.V., Amsterdam. All rights reserved.


  • correlation tests, model following, neurocontrol

Cite this