2015
DOI: 10.1137/140991340
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A Small-Gain Theorem for Random Dynamical Systems with Inputs and Outputs

Abstract: A formalism for the study of random dynamical systems with inputs and outputs (RDSIO) is introduced. An axiomatic framework and basic properties of RDSIO are developed, and a theorem is shown that guarantees the stability of interconnected systems.

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Cited by 8 publications
(2 citation statements)
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“…It is preserved by the dynamics of the delayed repressilator. These models have also been extended to include stochastic parameter dependence in [16,60]. Parabolic partial differential equations generate infinite dimensional dynamical systems that may also be order preserving.…”
mentioning
confidence: 99%
See 1 more Smart Citation
“…It is preserved by the dynamics of the delayed repressilator. These models have also been extended to include stochastic parameter dependence in [16,60]. Parabolic partial differential equations generate infinite dimensional dynamical systems that may also be order preserving.…”
mentioning
confidence: 99%
“…The results described above provide a small taste of the kind of results that have been established in monotone control theory. See [1,2,3,90,60] and the references therein for more.…”
mentioning
confidence: 99%