2020
DOI: 10.1007/s00034-020-01346-5
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Exponential Synchronization of Markovian Jump Complex Dynamical Networks with Uncertain Transition Rates and Mode-Dependent Coupling Delay

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Cited by 6 publications
(1 citation statement)
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“…In most of the practical networks, the abrupt variations often expose in system dynamics due to random failures, changes in the subsystem interconnections and information latching. Therefore, in order to tackle this issues, it is essential to describe CDNs with Markovian jumping parameters, where each state denotes in a discrete-time system with finite discrete jumping mode governed by the Markov process and few interesting results regarding Markov jump systems have been addressed in [21]- [23]. It is pointed that the above literatures have dealt with transition rates of Markov process are constants due to that the sojourn time between two jumps of the Markov chain is governed by exponential distribution.…”
Section: Introductionmentioning
confidence: 99%
“…In most of the practical networks, the abrupt variations often expose in system dynamics due to random failures, changes in the subsystem interconnections and information latching. Therefore, in order to tackle this issues, it is essential to describe CDNs with Markovian jumping parameters, where each state denotes in a discrete-time system with finite discrete jumping mode governed by the Markov process and few interesting results regarding Markov jump systems have been addressed in [21]- [23]. It is pointed that the above literatures have dealt with transition rates of Markov process are constants due to that the sojourn time between two jumps of the Markov chain is governed by exponential distribution.…”
Section: Introductionmentioning
confidence: 99%