Jared F. Miller

Convex Optimization, Nonlinear Systems, Control Theory, (Semi) Algebraic Geometry

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I am a Postdoctoral Researcher at the Automatic Control Lab, ETH Zurich, in the research group of Prof. Roy Smith. My thesis topic involved peak estimation and safety analysis (e.g. speed of a car, height of an aircraft, distance to an obstacle) through the use of occupation measures. My other branch of research involves data-driven control, including the in which the system is contaminated with a combination of input, measurement, and process noise (such as flying a drone with faulty motors and sensors on a windy day).

I received a Bachelors (EE) and a Masters (EE/CE) degree from Northeastern University in 2018, and a PhD (EE) degree from Northeastern University in 2023 (advised by Mario Sznaier). I have always been interested in applied mathematics, and was introduced to control theory and sparsity during my co-op at ASML (Veldhoven, NL) in 2016. I learned about convex optimization as part of Mario Sznaier’s course Big Data, Sparsity, and Control in 2017, for which I later became a teaching assistant.

news

Aug 7, 2023 I have started a postdoctoral position at the Automatic Control Lab (IfA), ETH Zurich, in the research group of Prof. Roy Smith.
Jul 12, 2023 4 papers were accepted to the 62nd IEEE CDC
Jul 11, 2023 I am a finalist for the Young Author Prize at IFAC WC 2022
Jun 5, 2023 Our paper Robust Data-Driven Safe Control using Density Functions was accepted for publication in the IEEE Control Systems Letters (L-CSS).
Jun 3, 2023 Our paper Bounding the Distance to Unsafe Sets with Convex Optimization was accepted for publication in the IEEE Transactions on Automatic Control.

selected publications

Theses

  1. PhD
    Safety Quantification for Nonlinear and Time-Delay Systems using Occupation Measures
    Miller, Jared
    2023

Journal Articles

  1. TAC
    Bounding the Distance to Unsafe Sets with Convex Optimization
    Miller, Jared, and Sznaier, Mario
    IEEE Transactions on Automatic Control 2023
  2. LCSS
    Robust Data-Driven Safe Control using Density Functions
    Zheng, Jian, Dai, TianyuMiller, Jared, and Sznaier, Mario
    2023
  3. LCSS
    Data-Driven Gain Scheduling Control of Linear Parameter-Varying Systems using Quadratic Matrix Inequalities
    Miller, Jared, and Sznaier, Mario
    IEEE Control Systems Letters 2022
  4. AUT
    Decomposed structured subsets for semidefinite and sum-of-squares optimization
    Automatica 2022

Conference Articles

  1. CDC
    Peak Estimation for Uncertain and Switched Systems
    Miller, JaredHenrion, DidierSznaier, Mario, and Korda, Milan
    In 60th IEEE Conference on Decision and Control (CDC) 2021

Preprints

  1. Analysis and Control of Input-Affine Dynamical Systems using Infinite-Dimensional Robust Counterparts
    Miller, Jared, and Sznaier, Mario
    Preprint 2023
  2. Data-Driven Stabilizing and Robust Control of Discrete-Time Linear Systems with Error in Variables
    Miller, JaredDai, Tianyu, and Sznaier, Mario
    Preprint 2022