We expand upon the theory of random dynamical systems (RDS) of L. Arnold, developing a theory of random dynamical systems with inputs and outputs (RDSIO)—an abstract framework for the treatment of noise-driven systems subject to stochastic inputs and yielding random outputs. This development allows for one to study both autonomous RDS and proper RDSIO as the feedback interconnection of smaller random input/output modules. As “proof of concept,” we prove a small-gain theorem for autonomous RDS which can be realized as the feedback interconnection of monotone RDSI with monotone or anti-monotone outputs. This result gives sufficient conditions for autonomous RDS to possess unique, globally attracting equilibria—the RDS in question need not be itself monotone.
Subject (authority = RUETD)
Topic
Mathematics
Subject (authority = ETD-LCSH)
Topic
Random dynamical systems
Subject (authority = ETD-LCSH)
Topic
Monotonic functions
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
Identifier
ETD_5795
PhysicalDescription
Form (authority = gmd)
electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
1 online resource (ix, 208 p. : ill.)
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
Note (type = statement of responsibility)
by Michael Marcondes de Freitas
RelatedItem (type = host)
TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier (type = local)
rucore19991600001
Location
PhysicalLocation (authority = marcorg); (displayLabel = Rutgers, The State University of New Jersey)
Rutgers University. Graduate School - New Brunswick
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Type
License
Name
Author Agreement License
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