Accession Number : AD0757785
Title : Structure Theory of Optimal Correlated Noise Filters.
Descriptive Note : Final rept. 30 Jun 70-30 Nov 72,
Corporate Author : UNIVERSITY OF SOUTHERN CALIFORNIA LOS ANGELES
Personal Author(s) : Silverman,L. M. ; Bucy,R. S.
Report Date : 30 NOV 1972
Pagination or Media Count : 7
Abstract : The main objective of the study was to gain a deep understanding of several basic interrelated problems of estimation and control for linear systems. The main unifying features in these problems are constraints characterized by subtle properties of system structure and a common type of Riccati equation. A great many outstanding problems have been resolved and a fairly complete theory of singular Riccati equations has been developed as well as a parallel theory of linear system structure. Some particular accomplishments are summarized briefly. (Author)
Descriptors : (*ADAPTIVE CONTROL SYSTEMS, MATHEMATICAL MODELS), LINEAR SYSTEMS, STABILITY, NOISE, OPTIMIZATION, PATTERN RECOGNITION
Subject Categories : Numerical Mathematics
Distribution Statement : APPROVED FOR PUBLIC RELEASE