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Randomized Asynchronous Recursions with a Sinusoidal Input

Teke, Oguzhan and Vaidyanathan, P. P. (2019) Randomized Asynchronous Recursions with a Sinusoidal Input. In: 2019 53rd Asilomar Conference on Signals, Systems, and Computers. IEEE , Piscataway, NJ, pp. 1491-1495. ISBN 9781728143002. https://resolver.caltech.edu/CaltechAUTHORS:20200402-145101457

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Abstract

This study considers a randomized asynchronous form of the discrete time-invariant state-space models, in which only a random subset of the state variables is updated in each iteration. When the system has a single input in the form of a complex exponential, it is shown that the output signal still behaves like an exponential in a statistical sense. The study presents the necessary and sufficient condition that ensures the stability of a randomized asynchronous system, which does not necessarily require the stability of the state transition matrix.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
https://doi.org/10.1109/ieeeconf44664.2019.9048998DOIArticle
ORCID:
AuthorORCID
Teke, Oguzhan0000-0002-1131-5206
Vaidyanathan, P. P.0000-0003-3003-7042
Additional Information:© 2019 IEEE. This work was supported in parts by the ONR grant N00014-18-1-2390, the NSF grant CCF-1712633, and the Electrical Engineering Carver Mead Research Seed Fund of the California Institute of Technology.
Funders:
Funding AgencyGrant Number
Office of Naval Research (ONR)N00014-18-1-2390
NSFCCF-1712633
Carver Mead Seed FundUNSPECIFIED
Subject Keywords:Asynchronous models, randomized iterations, state-space models, autonomous networks, graph filters
Record Number:CaltechAUTHORS:20200402-145101457
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20200402-145101457
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:102303
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:02 Apr 2020 21:56
Last Modified:02 Apr 2020 21:56

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