activity
20192025
most citedData-Driven Gain Scheduling Control of Linear Parameter-Varying Systems using Quadratic Matrix Inequalities

39 citations · 110 across the 21 of their papers we have counts for

collaborators

23 papers

math.OC2025★ 4 cited

Assessing the Quality of a Set of Basis Functions for Inverse Optimal Control via Projection onto Global Minimizers

Filip Bečanović, Jared Miller, Vincent Bonnet +2

Inverse optimization (Inverse optimal control) is the task of imputing a cost function such that given test points (trajectories) are (nearly) optimal with respect to the discovere…

math.OC2024

Data-Driven Superstabilizing Control under Quadratically-Bounded Errors-in-Variables Noise

Jared Miller, Tianyu Dai, Mario Sznaier

The Error-in-Variables model of system identification/control involves nontrivial input and measurement corruption of observed data, resulting in generically nonconvex optimization…

math.OC2024★ 1 cited

Unsafe Probabilities and Risk Contours for Stochastic Processes using Convex Optimization

Jared Miller, Matteo Tacchi, Didier Henrion +1

This paper proposes an algorithm to calculate the maximal probability of unsafety with respect to trajectories of a stochastic process and a hazard set. The unsafe probability esti…

math.OC2023

Data-Driven Superstabilization of Linear Systems under Quantization

Jared Miller, Jian Zheng, Mario Sznaier +1

This paper focuses on the stabilization and regulation of linear systems affected by quantization in state-transition data and actuated input. The observed data are composed of tup…

math.OC2023★ 1 cited

Peak Estimation of Time Delay Systems using Occupation Measures

Jared Miller, Milan Korda, Victor Magron +1

This work proposes a method to compute the maximum value obtained by a state function along trajectories of a Delay Differential Equation (DDE). An example of this task is finding…

math.OC2023

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…