Title :
Spaceplanes astronaut´s associate control server
Author_Institution :
Grumman Aircraft Syst., Bethpage, NY, USA
Abstract :
The author addresses the extension of the DARPA/US Air Force Pilot´s Associate program to the astronaut´s associate application, and particularly the control server aspect. Some representative techniques for implementing this system are discussed. Artificial intelligence (AI) and neural networks are applied synergistically to achieve an optimum system. The author examines such issues as adaptive aiding, performance seeking control, qualitative reasoning, neural networks gradient methods for connectionist networks, and neural machinery for spacecraft control
Keywords :
aerospace computer control; knowledge based systems; neural nets; AI; IKBS; adaptive aiding; aerospace computer control; astronaut´s associate control server; connectionist networks; gradient methods; neural networks; performance seeking control; qualitative reasoning; spacecraft control; spaceplanes; Artificial intelligence; Business; Costs; Engines; Low earth orbit satellites; Military aircraft; Space shuttles; Space vehicles; Testing; US Department of Defense;
Conference_Titel :
Decision and Control, 1988., Proceedings of the 27th IEEE Conference on
Conference_Location :
Austin, TX
DOI :
10.1109/CDC.1988.194287
