DocumentCode :
2820681
Title :
Stability analysis of hybrid jump linear systems with Markov inputs
Author :
Tejada, Arturo ; González, Oscar R. ; Gray, W. Steven
Author_Institution :
Old Dominion Univ., Norfolk
fYear :
2007
fDate :
12-14 Dec. 2007
Firstpage :
6280
Lastpage :
6285
Abstract :
Hybrid jump linear systems (HJLS´s) were introduced to study the properties of supervisory control systems. In a recent publication, a mean square (MS) stability test was introduced for HJLS´s with Moore output maps and i.i.d. inputs. In this paper, a similar test is developed for HJLS´s of this type but with Markov inputs. The test requires one to first construct an auxiliary HJLS with equivalent stability properties. Then, a particular matrix, A, is constructed taking into consideration the auxiliary system´s structure and associated Markov kernel. Finally, the spectral radius of A is compared against 1 to determine the stability of the original HJLS.
Keywords :
Markov processes; linear systems; stability; Markov inputs; Markov kernel; equivalent stability properties; hybrid jump linear system; stability analysis; supervisory control system; Automata; Control systems; Kernel; Linear systems; Stability analysis; Stochastic systems; Supervisory control; Switched systems; Testing; USA Councils;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 2007 46th IEEE Conference on
Conference_Location :
New Orleans, LA
ISSN :
0191-2216
Print_ISBN :
978-1-4244-1497-0
Electronic_ISBN :
0191-2216
Type :
conf
DOI :
10.1109/CDC.2007.4434389
Filename :
4434389
Link To Document :
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