A cyclic small-gain condition and an equivalent matrix-like criterion for iISS networks
This paper considers nonlinear dynamical networks consisting of individually iISS (integral input-to-state stable) subsystems which are not necessarily ISS (input-to-state stable). Stability criteria for internal and external stability of the networks are developed in view of both necessity and suff...
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Published in: | 2012 IEEE 51st IEEE Conference on Decision and Control (CDC) pp. 4158 - 4164 |
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Main Authors: | , , , |
Format: | Conference Proceeding |
Language: | English |
Published: |
IEEE
01-12-2012
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Subjects: | |
Online Access: | Get full text |
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Summary: | This paper considers nonlinear dynamical networks consisting of individually iISS (integral input-to-state stable) subsystems which are not necessarily ISS (input-to-state stable). Stability criteria for internal and external stability of the networks are developed in view of both necessity and sufficiency. For the sufficiency, we show how we can construct a Lyapunov function of the network explicitly under the assumption that a cyclic small-gain condition is satisfied. The cyclic small-gain condition is shown to be equivalent to a matrix-like condition. The two conditions and their equivalence precisely generalize some central ISS results in the literature. Moreover, the necessity of the matrix-like condition is established. The allowable number of non-ISS subsystems for stability of the network is discussed through several necessity conditions. |
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ISBN: | 9781467320658 146732065X |
ISSN: | 0191-2216 |
DOI: | 10.1109/CDC.2012.6426994 |