Sensor selection for Kalman filtering of linear dynamical systems: Complexity, limitations and greedy algorithms

H Zhang, R Ayoub, S Sundaram - Automatica, 2017 - Elsevier
We consider the problem of selecting an optimal set of sensors to estimate the states of
linear dynamical systems. Specifically, the goal is to choose (at design-time) a subset of …
被引用次数：175 相关文章

Sensor selection for Kalman filtering of linear dynamical systems: Complexity, limitations and greedy algorithms

H Zhang, R Ayoub, S Sundaram - Automatica: A journal of IFAC …, 2017 - dialnet.unirioja.es
We consider the problem of selecting an optimal set of sensors to estimate the states of
linear dynamical systems. Specifically, the goal is to choose (at design-time) a subset of …
[PDF] purdue.edu

[PDF][PDF] Sensor Selection for Kalman Filtering of Linear Dynamical Systems: Complexity, Limitations and Greedy Algorithms

H Zhanga, R Ayoubb, S Sundaramc - engineering.purdue.edu
We consider the problem of selecting an optimal set of sensors to estimate the states of
linear dynamical systems. Specifically, the goal is to choose (at design-time) a subset of …

Sensor selection for Kalman filtering of linear dynamical systems: Complexity, limitations and greedy algorithms

H Zhang, R Ayoub, S Sundaram - Automatica, 2017 - infona.pl
We consider the problem of selecting an optimal set of sensors to estimate the states of
linear dynamical systems. Specifically, the goal is to choose (at design-time) a subset of …