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eess.SY2024
Matrix Concentration Inequalities for Sensor Selection
Christopher I. Calle, Shaunak D. Bopardikar
In this work, we address the problem of sensor selection for state estimation via Kalman filtering. We consider a linear time-invariant (LTI) dynamical system subject to process an…
eess.SY2023
A Concentration-Based Approach for Optimizing the Estimation Performance in Stochastic Sensor Selection
Christopher I. Calle, Shaunak D. Bopardikar
In this work, we consider a sensor selection drawn at random by a sampling with replacement policy for a linear time-invariant dynamical system subject to process and measurement n…
eess.SY2021
Probabilistic Performance Bounds for Randomized Sensor Selection in Kalman Filtering
Christopher I. Calle, Shaunak D. Bopardikar
We consider the problem of randomly choosing the sensors of a linear time-invariant dynamical system subject to process and measurement noise. We sample the sensors independently a…