DocumentCode
3298312
Title
The set of asymptotically stable switching sequences of linear discrete-time switching systems
Author
Huang, Tingwen ; Luo, Jun ; Tingwen Huang ; Xiao, Ming Qing
Author_Institution
Zhongshan Univ., Guangzhou, China
fYear
2009
fDate
15-18 Dec. 2009
Firstpage
2162
Lastpage
2167
Abstract
In this paper we study the characterization of asymptotic stability for discrete-time switched linear systems. We first translate the system dynamics into a symbolic setting under the framework of symbolic topology. Then by using the ergodic measure theory, a lower bound estimate of Hausdorff dimension of the set of asymptotically stable sequences is obtained. We show that the Hausdorff dimension of the set of asymptotically stable switching sequences is positive if and only if the corresponding switched linear system has at least one asymptotically stable switching sequence. The obtained result reveals a underlying fundamental principle: a switched linear system either possesses uncountable numbers of asymptotically stable switching sequences or has none of them, provided that the switching is arbitrary.
Keywords
asymptotic stability; discrete time systems; linear systems; sequences; statistical mechanics; time-varying systems; topology; Hausdorff dimension; asymptotic stability; asymptotically stable sequences; asymptotically stable switching sequences; discrete-time switched linear systems; ergodic measure theory; linear discrete-time switching systems; lower bound; symbolic topology; system dynamics; Asymptotic stability; Communication switching; Linear systems; Lyapunov method; Manipulator dynamics; Stability analysis; Switched systems; Switching systems; Topology; USA Councils; Discrete-time switched linear systems; Hausdorff dimension; asymptotically stability; ergodic probability measure;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on
Conference_Location
Shanghai
ISSN
0191-2216
Print_ISBN
978-1-4244-3871-6
Electronic_ISBN
0191-2216
Type
conf
DOI
10.1109/CDC.2009.5399807
Filename
5399807
Link To Document