Sensor Selection by Greedy Method for Linear Dynamical Systems: Comparative Study on Fisher-Information-Matrix, Observability-Gramian and Kalman-Filter-Based Indices

Sensor Selection by Greedy Method for Linear Dynamical Systems: Comparative Study on Fisher-Information-Matrix, Observability-Gramian and Kalman-Filter-Based Indices

Objective functions for sensor selection are investigated in linear time-invariant systems with a large number of sensor candidates. This study compared the performance of sensor sets obtained using three types of D-optimality-based indices as objective functions for sensor selection based on the gr...

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Bibliographic Details
Main Authors: Shun Takahashi, Yasuo Sasaki, Takayuki Nagata, Keigo Yamada, Kumi Nakai, Yuji Saito, Taku Nonomura
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Greedy method
optimal design of experiment
sensor selection
linear time-invariant problem
Kalman filter
Online Access:https://ieeexplore.ieee.org/document/10171363/

Internet

https://ieeexplore.ieee.org/document/10171363/

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