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