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Unraveling the Control Engineer's Craft with Neural Networks
In this paper, we present a sim2real, direct data-driven controller tuning approach, where the digital twin is used to generate input-output data and suitable controllers for several perturbations in its parameters.
A Unified Approach to Differentially Private Bayes Point Estimation
Standard algorithms for differentially private estimation are based on adding an appropriate amount of noise to the output of a traditional point estimation method.
A Statistical Decision-Theoretical Perspective on the Two-Stage Approach to Parameter Estimation
One of the most important problems in system identification and statistics is how to estimate the unknown parameters of a given model.
Bandit Quickest Changepoint Detection
Many industrial and security applications employ a suite of sensors for detecting abrupt changes in temporal behavior patterns.
