DocumentCode :
3076043
Title :
Search methods for a constant scaling matrix attaining minimum H norm
Author :
Saeki, Masami
Author_Institution :
Inst. of Inf. Sci. & Electron., Tsukuba Univ., Ibaraki, Japan
fYear :
1990
fDate :
5-7 Dec 1990
Firstpage :
2636
Abstract :
The authors propose two iterative methods of searching for a constant diagonal matrix W>0 for which the H norm of W0.5G( s) W-0.5 takes minimum value. One method uses an M-matrix property on a frequency domain and the other a Riccati equation property in a state space. Numerical examples show that the convergence is stable and quick within a few iterations by the frequency-domain approach, and that the convergence is within several iterations for an appropriately chosen step length by the state-space approach
Keywords :
control system synthesis; frequency-domain analysis; iterative methods; matrix algebra; optimal control; search problems; stability; state-space methods; M-matrix property; Riccati equation property; constant diagonal matrix; constant scaling matrix; frequency-domain approach; minimum H norm; state-space approach; Frequency domain analysis; H infinity control; Iterative methods; Riccati equations; Robust stability; Search methods; Stability analysis; Stability criteria; State-space methods; Transfer functions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 1990., Proceedings of the 29th IEEE Conference on
Conference_Location :
Honolulu, HI
Type :
conf
DOI :
10.1109/CDC.1990.203443
Filename :
203443
Link To Document :
بازگشت