Title :
Neural network based parameter estimation of unstable aerospace dynamic systems
Author_Institution :
DLR Inst. for Flight Mech., Braunschweig, Germany
fDate :
11/1/1994 12:00:00 AM
Abstract :
The application of neural network based schemes for parameter estimation of unstable/augmented aerospace dynamic systems is considered. The parameter estimation algorithms are programmed within the structure of recurrent neural networks (RRNs). Numerical simulation results are given
Keywords :
aerospace; parameter estimation; recurrent neural nets; stability; augmented aerospace dynamic systems; neural network based parameter estimation; recurrent neural networks; unstable aerospace dynamic systems;
Journal_Title :
Control Theory and Applications, IEE Proceedings -
DOI :
10.1049/ip-cta:19941506
