DocumentCode :
795921
Title :
Deterministic aspects of the identification of linear discrete dynamic systems
Author :
Pearson, J.D.
Author_Institution :
Research Analysis Corporation, McLean, VA, USA
Volume :
12
Issue :
6
fYear :
1967
fDate :
12/1/1967 12:00:00 AM
Firstpage :
764
Lastpage :
766
Abstract :
Ho[2]has shown that problems of identification of state of noisy discrete dynamic systems are closely related to deterministic minimum norm. solutions of a set of overdetermined equations. This paper further applies this philosophy to the recursive identification of the transition matrix of a discrete 
th-order linear system, as the number of measurements of the state vector increases from one to 
.
th-order linear system, as the number of measurements of the state vector increases from one to .Keywords :
Linear systems, time-invariant discrete-time; System identification; Automatic control; Convergence; H infinity control; Machine learning; Noise measurement; Nonlinear systems; Probes; Sufficient conditions; System identification; Upper bound;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/TAC.1967.1098750
Filename :
1098750
Link To Document :
