A Caltech Library Service

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.

Full text is not posted in this repository. Consult Related URLs below.

Use this Persistent URL to link to this item:


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
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.
Funding AgencyGrant Number
Office of Naval Research (ONR)N00014-18-1-2390
Carver Mead Seed FundUNSPECIFIED
Subject Keywords:Asynchronous models, randomized iterations, state-space models, autonomous networks, graph filters
Record Number:CaltechAUTHORS:20200402-145101457
Persistent URL:
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:102303
Deposited By: Tony Diaz
Deposited On:02 Apr 2020 21:56
Last Modified:16 Nov 2021 18:10

Repository Staff Only: item control page