Jared F. Miller

Convex Optimization, Nonlinear Systems, Control Theory

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I am a Postdoctoral Researcher at the Automatic Control Lab, ETH Zurich, in the research group of Prof. Roy S. 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. Another branch of research involves data-driven control, including when 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 am also interested in renewable energy integration, and am therefore learning about power systems and power electronics.

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

Jun 13, 2024 Our work about Data-Driven Safe Control of Discrete-Time Non-Linear Systems (with Jian Zheng and Mario Sznaier) was published by the IEEE Control Systems Letters
Jun 8, 2024 Our paper on Data-Driven Superstabilizing Control Under Quadratically-Bounded Errors-in-Variables Noise (with Tianyu Dai and Mario Sznaier) was published by the IEEE Control Systems Letters
Jun 5, 2024 I will be presenting work about Peak Estimation of Rational Dynamical Systems (with R. S. Smith) at the to the 2024 European Control Conference in Stockholm.
Jun 1, 2024 I will be discussing research about parameterized robust counterparts, frequency-domain system identification, and peak estimation of nonnegative systems at the Mathematical Theory of Networks and Systems (MTNS) conference in Cambridge, UK.
Mar 28, 2024 I was interviewed in the IEEE Control Systems Magazine Ph.D.s in Control column about my thesis work in peak estimation.

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
    IEEE Control Systems Letters 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