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Reliability for linear differential equations with noisy coefficients

✍ Scribed by Michael P. Windham


Publisher
Elsevier Science
Year
1979
Tongue
English
Weight
334 KB
Volume
5
Category
Article
ISSN
0898-1221

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✦ Synopsis


Suppose k = (A + W)X is a system of stochastic differential equations, where A is a matrix of constants and W is a matrix of white noises. We say the system is reliable if the variance-covariance matrix of the states asymptotically approaches zero. We give conditions in terms of measures of the coefficient matrix and a matrix whose entries are standard deviation parameters of the coefficient noises which will insure that the system is reliable.


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