Stability regions in the parameter space:: D-decomposition revisited

被引:107
|
作者
Gryazina, EN [1 ]
Polyak, BT [1 ]
机构
[1] Russian Acad Sci, Inst Control Sci, Moscow 117997, Russia
关键词
stability analysis; stability domain; linear systems; parameter space;
D O I
10.1016/j.automatica.2005.08.010
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The challenging problem in linear control theory is to describe the total set of parameters (controller coefficients or plant characteristics) which provide stability of a system. For the case of one complex or two real parameters and SISO system (with a characteristic polynomial depending linearly on these parameters) the problem can be solved graphically by use of the so-called D-decomposition. Our goal is to extend the technique and to link it with general M - Delta framework. In this way we investigate the geometry of D-decomposition for polynomials and estimate the number of root invariant regions. Several examples verify that these estimates are tight. We also extend D-decomposition for the matrix case, i.e. for MIMO systems. For instance, we partition real axis or complex plane of the parameter k into regions with invariant number of stable eigenvalues of the matrix A + kB. Similar technique can be applied to double-input double-output systems with two parameters. (c) 2005 Elsevier Ltd. All rights reserved.
引用
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页码:13 / 26
页数:14
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