Exponential Input-to-State Stability for Hybrid Dynamical Networks via Impulsive Interconnection
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Liu, Bin
Hill, David
Sun, Yunlian
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Institute of Electrical and Electronics Engineers (IEEE Inc)
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.
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IEEE Conference on Decision and Control 2010 Proceedings
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2037-12-31
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