DocumentCode :
2569291
Title :
Exponential input-to-state stability for hybrid dynamical networks via impulsive interconnection
Author :
Bin Liu ; Hill, David J. ; Sun, Yunlian
Author_Institution :
Sch. of Eng., Australian Nat. Univ., Canberra, ACT, Australia
fYear :
2010
fDate :
15-17 Dec. 2010
Firstpage :
673
Lastpage :
678
Abstract :
This paper investigates the problem of exponential input-to-state stability (e-ISS) for hybrid dynamical networks (HDN) via impulsive interconnection. New concepts of input-to-state exponent property (IS-E) and augmented time are proposed for dynamical systems and hybrid systems respectively. By using IS-E estimations of nodes in HDN and methods such as multiple Lyapunov functions and hybrid time, two types of e-ISS criteria for continuous-time/discrete-time HDN are established respectively. The requirements on ISS property of every subsystem and small-gain condition for interconnection in interconnected systems or networks in the literature is relaxed. The obtained e-ISS results are extended to the case of delayed impulsive interconnection. One representative example is given to illustrate the theoretical results.
Keywords :
asymptotic stability; continuous time systems; delays; discrete time systems; interconnected systems; nonlinear dynamical systems; HDN; IS-E estimations; continuous time system; delayed impulsive interconnection; discrete time system; dynamical systems; exponential input-to-state stability; hybrid dynamical networks; hybrid systems; interconnected systems; Australia; Integrated circuits; Lyapunov method; Silicon; Stability criteria; Time domain analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2010 49th IEEE Conference on
Conference_Location :
Atlanta, GA
ISSN :
0743-1546
Print_ISBN :
978-1-4244-7745-6
Type :
conf
DOI :
10.1109/CDC.2010.5717240
Filename :
5717240
Link To Document :
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