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 :
