Using Markov Models of Fault Growth Physics and Environmental Stresses to Optimize Control Actions

Bole, Brian; Goebel, Kai; Vachtsevanos, George J.

Title:

Using Markov Models of Fault Growth Physics and Environmental Stresses to Optimize Control Actions

dc.contributor.author	Bole, Brian
dc.contributor.author	Goebel, Kai
dc.contributor.author	Vachtsevanos, George J.
dc.contributor.corporatename	Georgia Institute of Technology. School of Aerospace Engineering	en_US
dc.contributor.corporatename	Ames Research Center	en_US
dc.date.accessioned	2013-03-04T16:58:23Z
dc.date.available	2013-03-04T16:58:23Z
dc.date.issued	2012-06-19
dc.description	This item can be found at the AIAA website here: http://arc.aiaa.org/doi/abs/10.2514/6.2012-2424
dc.description.abstract	A generalized Markov chain representation of fault dynamics is presented for the case that available modeling of fault growth physics and future environmental stresses can be represented by two independent stochastic process models. A contrived but representatively challenging example will be presented and analyzed, in which uncertainty in the modeling of fault growth physics is represented by a uniformly distributed dice throwing process, and a discrete random walk is used to represent uncertain modeling of future exogenous loading demands to be placed on the system. A finite horizon dynamic programming algorithm is used to solve for an optimal control policy over a finite time window for the case that stochastic models representing physics of failure and future environmental stresses are known, and the states of both stochastic processes are observable by implemented control routines. The fundamental limitations of optimization performed in the presence of uncertain modeling information are examined by comparing the outcomes obtained from simulations of an optimizing control policy with the outcomes that would be achievable if all modeling uncertainties were removed from the system.	en_US
dc.embargo.terms	null	en_US
dc.identifier.citation	Bole, Brian; Goebel, Kai; Vachstevanos, George; "Using Markov Models of Fault Growth Physics and Environmental Stresses to Optimize Control Actions", InfoTech@Aerospace 2012 (19-21 June, 2012)	en_US
dc.identifier.doi	10.2514/6.2012-2424	en_US
dc.identifier.issn	978-1-60086-939-6
dc.identifier.uri	http://hdl.handle.net/1853/46287
dc.language.iso	en_US	en_US
dc.publisher	Georgia Institute of Technology	en_US
dc.relation.ispartofseries	AIAA-2012-2424	en_US
dc.subject	Markov model	en_US
dc.title	Using Markov Models of Fault Growth Physics and Environmental Stresses to Optimize Control Actions	en_US
dc.type	Text
dc.type.genre	Article
dspace.entity.type	Publication
local.contributor.author	Vachtsevanos, George J.
local.contributor.corporatename	Daniel Guggenheim School of Aerospace Engineering
relation.isAuthorOfPublication	44a9325c-ad69-4032-a116-fd5987b92d56
relation.isOrgUnitOfPublication	a348b767-ea7e-4789-af1f-1f1d5925fb65