Title :
Minimax parameter estimation for linear systems
Author :
Gibson, J.S. ; Lee, G.H.
Author_Institution :
Dept. of Mech., Aerosp. & Nucl. Eng., California Univ., Los Angeles, CA, USA
fDate :
29 June-1 July 1994
Abstract :
A new class of parameter estimation problems is introduced, where the estimated parameters are minimizing solutions to minimax problems for quadratic fit-to-data criteria.
Keywords :
linear systems; minimax techniques; parameter estimation; linear systems; minimax parameter estimation; minimax problems; minimizing solutions; quadratic fit-to-data criteria; Aerospace engineering; Digital filters; Ear; Filtering; Hilbert space; Linear systems; Minimax techniques; Noise measurement; Nonlinear filters; Parameter estimation;
Conference_Titel :
American Control Conference, 1994
Print_ISBN :
0-7803-1783-1
DOI :
10.1109/ACC.1994.751820
