Publications (42)
Data-Driven Control of Positive Linear Systems using Linear Programming
Jared Miller, Tianyu Dai, Mario Sznaier +1
This paper presents a linear-programming based algorithm to perform data-driven stabilizing control of linear positive systems. A set of state-input-transition observations is coll…
Joint Chance Constrained Safe-Optimal Control
Niklas Schmid, Jared Miller, Tristan Zeller +3
We consider the finite-time optimal control of stochastic systems subject to a probabilistic constraint on the trajectories' safety. Such formulations are known as joint chance con…
Bounding the Minimal Current Harmonic Distortion in Optimal Modulation of Single-Phase Power Converters
Jared Miller, Petros Karamanakos, Tobias Geyer
Optimal pulse patterns (OPPs) are a modulation technique in which a switching signal is computed offline through an optimization process that accounts for selected performance crit…
Analysis and Synthesis of Switched Optimization Algorithms
Jared Miller, Fabian Jakob, Carsten Scherer +1
Deployment of optimization algorithms over communication networks face challenges associated with time delays and corruptions. Fixed time delays can destabilize popular gradient-ba…
Peak Time-Windowed Risk Estimation of Stochastic Processes
Jared Miller, Niklas Schmid, Matteo Tacchi +2
This paper develops a method to upper-bound extreme-values of time-windowed risks for stochastic processes. Examples of such risks include the maximum average or 90% quantile of th…
Solving Interpretable Kernel Dimension Reduction
Chieh Wu, Jared Miller, Yale Chang +2
Kernel dimensionality reduction (KDR) algorithms find a low dimensional representation of the original data by optimizing kernel dependency measures that are capable of capturing n…