caa a22 4500 477072968 CHVBK 20180405111431.0 cr unu---uuuuu 170330e19961201xx s 000 0 eng 10.1007/BF01413818 doi (NATIONALLICENCE)springer-10.1007/BF01413818 Neural network control of a gas turbine [Elektronische Daten] [I. Nabney, D. Cressy] 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. Springer-Verlag London Limited, 1996 Correlation tests nationallicence Model following nationallicence Neurocontrol nationallicence Nabney I. Neural Computing Research Group, Aston University, B4 7ET, Birmingham, UK aut Cressy D. Recognition Systems Ltd., Aston Science Park, Birmingham, UK aut Neural Computing & Applications Springer-Verlag 4/4(1996-12-01), 198-208 0941-0643 4:4<198 1996 4 521 https://doi.org/10.1007/BF01413818 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF01413818 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Nabney I. Neural Computing Research Group, Aston University, B4 7ET, Birmingham, UK aut NATIONALLICENCE 700 1- Cressy D. Recognition Systems Ltd., Aston Science Park, Birmingham, UK aut NATIONALLICENCE 773 0- Neural Computing & Applications Springer-Verlag 4/4(1996-12-01), 198-208 0941-0643 4:4<198 1996 4 521 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer