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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Vydané v:	IEEE transactions on control of network systems Ročník 7; číslo 4; s. 1870 - 1881
Hlavní autori:	Ye, Lintao, Roy, Sandip, Sundaram, Shreyas
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.12.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Budgets Computation Control systems Covariance Directed graphs Heuristic algorithms Kalman filters networked control systems Optimization Placement Polynomials sensor systems Sensors state estimation Steady state Stochastic processes Strategy System dynamics
ISSN:	2325-5870, 2372-2533
On-line prístup:	Získať plný text
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