Title :
Least squares: once again, with feeling
Author_Institution :
Dept. of Electr. Eng., Stanford Univ., CA, USA
Abstract :
Summary form only given. Describes how the apparently radically novel subjects of H∞-control and estimation that have gathered so much attention in the last decade can be fitted into the now-classical Wiener and Kalman setting by making a simple change in the basic framework, but one with deep consequences: working in a particular kind of indefinite metric space (Krein space) rather than in Hilbert space
Keywords :
least squares approximations; linear systems; parameter estimation; H∞-control; H∞-estimation; Kalman; Wiener; indefinite metric space; Extraterrestrial measurements; Hilbert space; Integral equations; Kalman filters; Least squares methods; Linear systems; Matrices; Nonlinear systems; Random processes; Signal processing;
Conference_Titel :
Decision and Control, 1995., Proceedings of the 34th IEEE Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
0-7803-2685-7
DOI :
10.1109/CDC.1995.478541
