Resilient Sensor Placement for Kalman Filtering in Networked Systems: Complexity and Algorithms

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 corresponding Kalman filter. While this problem is NP-hard...

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Bibliographic Details

Published in:	arXiv.org
Main Authors:	Ye, Lintao, Roy, Sandip, Sundaram, Shreyas
Format:	Paper
Language:	English
Published:	Ithaca Cornell University Library, arXiv.org 24.06.2020
Subjects:	Algorithms Budgets Computation Covariance Kalman filters Optimization Placement Polynomials Sensors Steady state Strategy System dynamics
ISSN:	2331-8422
Online Access:	Get full text
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