Zobrazeno 1 - 10
of 128
pro vyhledávání: '"Shreyas Sundaram"'
Publikováno v:
IEEE Transactions on Control of Network Systems. 9:1154-1165
Publikováno v:
IEEE Transactions on Automatic Control. 67:3426-3441
Publikováno v:
IEEE Transactions on Automatic Control. 66:4084-4100
We study a setting where a group of agents, each receiving partially informative private signals, seek to collaboratively learn the true underlying state of the world (from a finite set of hypotheses), which generates their joint observation profiles
Publikováno v:
Experimental Economics. 25:254-286
How do people distribute defenses over a directed network attack graph, where they must defend a critical node? This question is of interest to computer scientists, information technology and security professionals. Decision-makers are often subject
Publikováno v:
IEEE Transactions on Control of Network Systems. 8:713-724
We address the problem of distributed state estimation of a linear dynamical process in an attack-prone environment. Recent attempts to solve this problem impose stringent redundancy requirements on the measurement and communication resources of the
Publikováno v:
2022 American Control Conference (ACC).
Publikováno v:
IEEE Transactions on Signal Processing. 69:3906-3921
We consider the problem of distributed inference where agents in a network observe a stream of private signals generated by an unknown state, and aim to uniquely identify this state from a finite set of hypotheses. We focus on scenarios where communi
Publikováno v:
IEEE Transactions on Control of Network Systems. 7:1870-1881
Given a linear dynamical system affected by noise, we study the problem of optimally placing sensors (at design-time) subject to a sensor placement budget constraint in order to minimize the trace of the steady-state error covariance of the correspon
Autor:
Mustafa Abdallah, Daniel Woods, Parinaz Naghizadeh, Issa Khalil, Timothy Cason, Shreyas Sundaram, Saurabh Bagchi
Publikováno v:
2022 IEEE Symposium on Security and Privacy (SP).
We study the problem of identifying the dynamics of a linear system when one has access to samples generated by a similar (but not identical) system, in addition to data from the true system. We use a weighted least squares approach and provide finit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::933042a4062159901546094d3977e08e
http://arxiv.org/abs/2204.05446
http://arxiv.org/abs/2204.05446