Balanced state-space representations: a polynomial algebraic approach

被引：0
|
作者：
Rapisarda, P. [1 ]
Trentelman, H. L. [2 ]
机构：
[1] Univ Southampton, Sch Elect & Comp Sci, ISIS Grp, Southampton SO17 1BJ, Hants, England
[2] Univ Groningen, Math Inst, NL-9700 AB Groningen, Netherlands
来源：
PROCEEDINGS OF THE 48TH IEEE CONFERENCE ON DECISION AND CONTROL, 2009 HELD JOINTLY WITH THE 2009 28TH CHINESE CONTROL CONFERENCE (CDC/CCC 2009) | 2009年
关键词：
TANGENTIAL SCHUR-ALGORITHM; SPECTRAL FACTORIZATION; LINEAR-SYSTEMS; INTERPOLATION PROBLEM; MODEL-REDUCTION; ERROR-BOUNDS; REALIZATIONS;
D O I：
10.1109/CDC.2009.5399719
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
We show how to compute a minimal Riccati-balanced state map and a minimal Riccati-balanced state space representation starting from an image representation of a strictly dissipative system. The result is based on an iterative procedure to solve a generalization of the Nevanlinna interpolation problem.
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页码：4334 / 4339
页数：6
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