DocumentCode :
1300528
Title :
A parametrization of all the unfalsified plant models for MIMO systems
Author :
Zhou, Tong
Author_Institution :
Dept. of Comput. Intelligence, Tokyo Inst. of Technol., Yokohama, Japan
Volume :
43
Issue :
1
fYear :
1998
fDate :
1/1/1998 12:00:00 AM
Firstpage :
18
Lastpage :
30
Abstract :
The results of the parametrization of all the unfalsified models for single-input/single-output systems are extended to multi-input/multi-output (MIMO) systems. In this parametrization, the assumed a priori plant and noise information are upper bounds of the H -norm of the plant matrix-valued transfer function and the noise magnitude. The parametrization is on the basis of several series of plant time-domain identification experiment data. It is shown that for MIMO systems, all the unfalsified plant matrix-valued transfer functions can still be expressed by the linear fractional transformation of a fixed matrix-valued transfer function and an H-norm bounded structure fixed, but uncertain matrix-valued transfer function. However, the high dimensions of the matrix-valued transfer functions involved in the parametrization hamper the direct application of these results to robust controller design. To overcome these difficulties, further efforts are needed
Keywords :
MIMO systems; extrapolation; identification; robust control; time-domain analysis; transfer function matrices; H-norm; MIMO systems; extrapolation; identification; linear fractional transformation; parametrization; robust control; time-domain analysis; transfer function matrix; unfalsified plant models; upper bounds; 1f noise; Computational intelligence; Control theory; Extrapolation; MIMO; Power system modeling; Robust control; Time domain analysis; Transfer functions; Upper bound;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/9.654884
Filename :
654884
Link To Document :
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