1999
DOI: 10.1080/17442509908834209
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Mean square stabilization of linear systems by mean zero noise

Abstract: A necessary and sufficient condition for the mean square stabilization of time-varying linear systems of ordinary differential equations by zero mean real noise is obtained. The noise sources are generated either by Ornstein-Uhlenbek process or telegraphic process.

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Cited by 14 publications
(4 citation statements)
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“…It is known [1,2,3,6,7], that for the moments of the solution to (1) we have an infinite chain of equations. To close this chain, we consider the so called closure problem.…”
Section: Consider the Following Linear Ordinary Equation In R D Dx (1mentioning
confidence: 99%
“…It is known [1,2,3,6,7], that for the moments of the solution to (1) we have an infinite chain of equations. To close this chain, we consider the so called closure problem.…”
Section: Consider the Following Linear Ordinary Equation In R D Dx (1mentioning
confidence: 99%
“…. If the excitation (2) is Ornstein-Uhlenbeck process, a similar hierarchy was obtained earlier in [2].…”
Section: Hierarchy For the Meanmentioning
confidence: 58%
“…Applying this formula to the Eq. (5) we obtain the following infinite chain of equations (see [27,28] for details):…”
Section: Mean Value Calculationsmentioning
confidence: 99%