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Estimation of Scalar Field Distribution in the Fourier Domain
In this paper we consider the problem of estimation of scalar field distribution (e. g. pollutant, moisture, temperature) from noisy measurements collected by unmanned autonomous vehicles such as UAVs.
Stability Enforced Bandit Algorithms for Channel Selection in Remote State Estimation of Gauss-Markov Processes
In this paper we consider the problem of remote state estimation of a Gauss-Markov process, where a sensor can, at each discrete time instant, transmit on one out of M different communication channels.
Learning Safety Filters for Unknown Discrete-Time Linear Systems
A learning-based safety filter is developed for discrete-time linear time-invariant systems with unknown models subject to Gaussian noises with unknown covariance.
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