The NECTAR-project research into the application of neural networks for flight control

Processes with (partly) unknown or complex dynamic behaviours need complex control schemes. Neural networks offer interesting perspectives both for identification and control of these processes, because neural networks can approximate any (non-linear) continuous function. Especially adaptive control using neural networks offers good possibilities, due to the possibility to learn online. The NECTAR-project (Neural and Expert ConTrol of AircRaft) aims at studying both neural network and expert system structures for highly demanding control environments. In this publication the general structure of the project will be sketched, after which the neural network part of the project will be discussed in more detail. The final architecture will be implemented on-board of a laboratory aircraft to demonstrate the possibilities. Some preliminary results are reported.