Title :
Stochastic Neura1 Learning in Identification and State Estimation
Author :
Zohdy, Mohamed A. ; Mertz, Eric G. ; Adamczyk, Bogdan
Author_Institution :
Department of Electrical and Systems Engineering, Oakland University, Rochester, MI 48309
Abstract :
This paper investigates the application of stochastic neural networks to state estimation and system identification. The state estimation problem is approached by using a neural network and then a bank of Kalman filters. Also the system identification problem is solved by a neural network and by least squares identification.
Keywords :
Acceleration; Least squares methods; Matched filters; Neural networks; Neurons; State estimation; Stochastic processes; System identification; Systems engineering and theory; Target tracking;
Conference_Titel :
American Control Conference, 1991
Conference_Location :
Boston, MA, USA
Print_ISBN :
0-87942-565-2
