DocumentCode
836097
Title
Optimal experiment design for autoregressive model with output power constraints
Author
Ng, Tung Sang ; Qureshi, Zahid H.
Author_Institution
University of Wollongong, Wollongong, New South Wales, Australia
Volume
26
Issue
3
fYear
1981
fDate
6/1/1981 12:00:00 AM
Firstpage
739
Lastpage
742
Abstract
The output power constraint problem of optimal experiment design for an autoregressive model is considered. It is shown that besides the known minimum variance control law design, a
- optimal experiment consisting of sinusoidai input test signals without feedback can be obtained by solving a set of nonlinear equations. Two examples are also given to illustrate this design methodology.
- optimal experiment consisting of sinusoidai input test signals without feedback can be obtained by solving a set of nonlinear equations. Two examples are also given to illustrate this design methodology.Keywords
Autoregressive processes; Experiment design; System identification, nonlinear systems; Control systems; Equations; Feedback control; Optimal control; Power generation; Power system modeling; Radio control; Robustness; Signal design; Testing;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/TAC.1981.1102695
Filename
1102695
Link To Document