Abstract
The following work deals with the application of neural techniques to the identification and control of a non-linear dynamic system. The process to be controlled is the opening of a turbofan exhaust nozzle. It exhibits strong non-linearities and is difficult to modelize and control with classical methods. Here we use an approach inspired by the concepts of indirect adaptive control. The main results showing the efficiency of this neural controller are given and discussed.
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© 1993 Springer-Verlag Berlin Heidelberg
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Barret, C., Houkari, M., Meyne, P., Martinez, J.M., Garassino, A., Tormo, P. (1993). A neural adaptive controller for a turbofan exhaust nozzle. In: Mira, J., Cabestany, J., Prieto, A. (eds) New Trends in Neural Computation. IWANN 1993. Lecture Notes in Computer Science, vol 686. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-56798-4_220
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DOI: https://doi.org/10.1007/3-540-56798-4_220
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