Title :
Adaptive neural control for flexible aerospace systems: progress and prospects
Author :
Hyland, David C.
Author_Institution :
Gov. Aerosp. Syst. Div., Harris Corp., Melbourne, FL, USA
Abstract :
This paper discusses the adaptive neural control (ANC) architecture for online system identification and adaptive control. We describe the basic architecture and summarize the test results obtained to-date
Keywords :
adaptive control; aerospace control; flexible structures; identification; neural net architecture; neurocontrollers; real-time systems; adaptive neural control; architecture; flexible aerospace systems; online system identification; Adaptive control; Aerospace control; Artificial neural networks; Biological systems; Control systems; Fault tolerance; Motion control; Neurons; Programmable control; System identification;
Conference_Titel :
Intelligent Control, 1995., Proceedings of the 1995 IEEE International Symposium on
Conference_Location :
Monterey, CA
Print_ISBN :
0-7803-2722-5
DOI :
10.1109/ISIC.1995.525029
