| bibtype |
J -
Journal Article
|
| ARLID |
0382169 |
| utime |
20240103201403.8 |
| mtime |
20121031235959.9 |
| WOS |
000309129000003 |
| SCOPUS |
84867000151 |
| DOI |
10.1080/00207721.2012.687787 |
| title
(primary) (eng) |
A method for determining the non-existence of a common quadratic Lyapunov function for switched linear systems based on particle swarm optimisation |
| specification |
|
| serial |
| ARLID |
cav_un_epca*0256821 |
| ISSN |
0020-7721 |
| title
|
International Journal of Systems Science |
| volume_id |
43 |
| volume |
11 (2012) |
| page_num |
2015-2029 |
| publisher |
|
|
| keyword |
Switched linear systems |
| keyword |
Lyapunov function |
| keyword |
particle swarm optimization |
| author
(primary) |
| ARLID |
cav_un_auth*0253278 |
| name1 |
Duarte-Mermoud |
| name2 |
M.A. |
| country |
CL |
|
| author
|
| ARLID |
cav_un_auth*0284618 |
| name1 |
Ordonez-Hurtado |
| name2 |
R.H. |
| country |
CL |
|
| author
|
| ARLID |
cav_un_auth*0101234 |
| name1 |
Zagalak |
| name2 |
Petr |
| full_dept (cz) |
Adaptivní systémy |
| full_dept |
Department of Adaptive Systems |
| department (cz) |
AS |
| department |
AS |
| institution |
UTIA-B |
| full_dept |
Department of Adaptive Systems |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| project_id |
GAP103/12/2431 |
| agency |
GA ČR |
| country |
CZ |
| ARLID |
cav_un_auth*0284932 |
|
| abstract
(eng) |
The existence of a common quadratic Lyapunov function (CQLF) for a switched linear system guarantees its global asymptotic stability. Even if progress in finding the conditions for the existence/non-existence of a CQLF is significant, especially in switched linear systems consisting of N second-order systems or two systems of order n, the general case of N systems of order n still remains open. In this article, a sufficient condition for the non- existence of a CQLF for N systems of order n is derived. Based on the condition, a new method for determining the non-existence of a CQLF, using particle swarm optimisation, was designed and is described. Examples illustrating the proposed method are introduced at the end of this article. |
| reportyear |
2013 |
| RIV |
BC |
| num_of_auth |
3 |
| mrcbC52 |
4 A 4a 20231122135245.5 |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0212468 |
| mrcbT16-e |
AUTOMATIONCONTROLSYSTEMS|COMPUTERSCIENCETHEORYMETHODS|OPERATIONSRESEARCHMANAGEMENTSCIENCE |
| mrcbT16-f |
1.504 |
| mrcbT16-g |
0.246 |
| mrcbT16-h |
6.5 |
| mrcbT16-i |
0.00429 |
| mrcbT16-j |
0.411 |
| mrcbT16-k |
1996 |
| mrcbT16-l |
195 |
| mrcbT16-s |
0.840 |
| mrcbT16-4 |
Q1 |
| mrcbT16-B |
28.145 |
| mrcbT16-C |
65.633 |
| mrcbT16-D |
Q3 |
| mrcbT16-E |
Q2 |
| arlyear |
2012 |
| mrcbTft |
\nSoubory v repozitáři: zagalak-0382169.pdf |
| mrcbU14 |
84867000151 SCOPUS |
| mrcbU34 |
000309129000003 WOS |
| mrcbU63 |
cav_un_epca*0256821 International Journal of Systems Science 0020-7721 1464-5319 Roč. 43 č. 11 2012 2015 2029 Taylor & Francis |
|