2012
DOI: 10.1016/j.automatica.2012.06.044
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Stochastic stabilization of hybrid differential equations

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Cited by 121 publications
(65 citation statements)
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“…In other words, one could design a controller in terms of a Brownian noise perturbation to stabilize an SMJS, which also guarantees the solution unique. From Theorems 1 and 2, it is seen that the steady state distribution k 1 is assumed to be available exactly, which is same to the ones in [44,45]. It means that the TRM K should also be known exactly.…”
Section: Theoremmentioning
confidence: 94%
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“…In other words, one could design a controller in terms of a Brownian noise perturbation to stabilize an SMJS, which also guarantees the solution unique. From Theorems 1 and 2, it is seen that the steady state distribution k 1 is assumed to be available exactly, which is same to the ones in [44,45]. It means that the TRM K should also be known exactly.…”
Section: Theoremmentioning
confidence: 94%
“…That is because the other conditions can be obtained similarly and will be omitted here. By substituting the representations of Y i defined in (47) and X described in (45) into (41), we have…”
Section: Theoremmentioning
confidence: 99%
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“…On the other hand, systems in many branches of science and industry not only depend on time delays including time-varying delays and infinite distributed delays but also various types of stochastic environmental noise, and systems could be stabilized or destabilized by certain stochastic inputs [40]. Therefore, it is of significant importance to consider stochastic effects for the neural networks.…”
Section: Introductionmentioning
confidence: 99%
“…All authors read and approved the final manuscript. 1 Tongda College of Nanjing University of Posts and Telecommunications, Yangzhou, Jiangsu 225127, China. 2 School of Mathematical Sciences and Institute of Finance and Statistics, Nanjing Normal University, Nanjing, Jiangsu 210023, China.…”
Section: Two Examplesmentioning
confidence: 99%