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Parallel Monte Carlo Simulation for control system designThe research during the 1993/94 academic year addressed the design of parallel algorithms for stochastic robustness synthesis (SRS). SRS uses Monte Carlo simulation to compute probabilities of system instability and other design-metric violations. The probabilities form a cost function which is used by a genetic algorithm (GA). The GA searches for the stochastic optimal controller. The existing sequential algorithm was analyzed and modified to execute in a distributed environment. For this, parallel approaches to Monte Carlo simulation and genetic algorithms were investigated. Initial empirical results are available for the KSR1.
Document ID
19960002171
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Schubert, Wolfgang M.
(Princeton Univ. NJ, United States)
Date Acquired
September 6, 2013
Publication Date
August 1, 1995
Publication Information
Publication: NASA. Langley Research Center, FAA(NASA Joint University Program for Air Transportation Research: 1993-1994
Subject Category
Computer Programming And Software
Accession Number
96N12179
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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