Reconstruction of networks of cyclostationary processes

Saurav Talukdar, Mangal Prakash, Donatello Materassi, Murti V. Salapaka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations


Many complex systems can be described by agents that can be modeled as a network of dynamically interacting cyclo-stationary processes. Such systems arise in areas like power systems and climate sciences. For many of these systems a key objective is to understand mutual influences between various subsystems without altering the natural behavior of the system. Such an objective translates to unveiling the interconnection of the topology of the network using only passive means. Most existing related works have emphasized correlation based methods where interdependencies over different time-instants can be missed. Recent work where dynamic influences are incorporated assuming stationary statistics cannot accommodate applications that arise in many areas such as power and climate sciences. In this article an algorithm based on Wiener filtering is devised for the reconstruction of interconnectivity of dynamically related cyclo-stationary processes. It is shown that all existing interdependencies are detected and spurious detection remains local. Application to a microgrid power network is shown to yield useful insights.

Original languageEnglish (US)
Title of host publication54rd IEEE Conference on Decision and Control,CDC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781479978861
StatePublished - Feb 8 2015
Event54th IEEE Conference on Decision and Control, CDC 2015 - Osaka, Japan
Duration: Dec 15 2015Dec 18 2015

Publication series

NameProceedings of the IEEE Conference on Decision and Control
Volume54rd IEEE Conference on Decision and Control,CDC 2015
ISSN (Print)0743-1546
ISSN (Electronic)2576-2370


Other54th IEEE Conference on Decision and Control, CDC 2015

Bibliographical note

Publisher Copyright:
© 2015 IEEE.


Dive into the research topics of 'Reconstruction of networks of cyclostationary processes'. Together they form a unique fingerprint.

Cite this