dc.contributor.author | Siettos, C | en |
dc.contributor.author | Armaou, A | en |
dc.contributor.author | Makeev, A | en |
dc.contributor.author | Kevrekidis, I | en |
dc.date.accessioned | 2014-03-01T01:51:39Z | |
dc.date.available | 2014-03-01T01:51:39Z | |
dc.date.issued | 2002 | en |
dc.identifier.uri | https://dspace.lib.ntua.gr/xmlui/handle/123456789/26375 | |
dc.relation.uri | http://arxiv.org/abs/nlin/0207017 | en |
dc.subject | Control Theory | en |
dc.subject | Kinetic Monte Carlo | en |
dc.subject | Numerical Analysis | en |
dc.subject | Stochastic System | en |
dc.subject | System Identification | en |
dc.title | Microscopic/stochastic timesteppers and coarse control: a kinetic Monte Carlo example | en |
heal.type | journalArticle | en |
heal.publicationDate | 2002 | en |
heal.abstract | Coarse timesteppers provide a bridge between microscopic / stochastic systemdescriptions and macroscopic tasks such as coarse stability/bifurcationcomputations. Exploiting this computational enabling technology, we present aframework for designing observers and controllers based on microscopicsimulations, that can be used for their coarse control. The proposedmethodology provides a bridge between traditional numerical analysis andcontrol theory on the | en |
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