About me
I am a PhD student in Electrical and Computer Engineering at Johns Hopkins University advised by Enrique Mallada. My research is focused on finding creative ways to pose and solve problems arising in planning and control using numerical optimization.
In addition to my PhD studies, I also work at the Johns Hopkins Applied Physics Laboratory. My current work is focused on advanced trajectory optimization and guidance methods for future aerospace vehicles. I previously did control design and analysis for new vehicle concepts. Prior to JHUAPL, I worked at General Dynamics Electric Boat doing modeling and control design of motors and power electronic converters for a next-generation submarine.
In-Preparation
Efficient Robust Trajectory Optimation via Ellipsoidal Hull Propagation
Publications (Under-Review)
A Differentiable Signed Distance Representation for Continuous Collision Avoidance in Optimization-Based Motion Planning
J. Guthrie (Submitted to CDC 2022)
Publications
Inner and Outer Approximations of Star-Convex Semialgebraic Sets.
J. Guthrie. Accepted to IEEE Control Systems Letters (L-CSS). PDF
Closed-Form Minkowski Sum Approximations for Efficient Optimization-Based Collision Avoidance.
J. Guthrie, M. Kobilarov, and E. Mallada. IEEE American Control Conference (ACC), 2022. PDF
Inner Approximations of the Positive-Semidefinite Cone via Grassmannian Packings.
T. Zheng, J. Guthrie, and E. Mallada. IEEE Conference on Decision and Control (CDC), 2021. PDF
Outer Approximations of Minkowski Operations on Complex Sets via Sum-of-Squares Optimization.
J. Guthrie and E. Mallada. IEEE American Control Conference (ACC), 2021. PDF
Minimum-Time Charging of Energy Storage in Microgrids via Approximate Conic Relaxation.
J. Guthrie and E. Mallada. IEEE European Control Conference (ECC), 2020. PDF Video
Adversarial Model Predictive Control via Second Order Cone Programming.
J. Guthrie and E. Mallada. IEEE Conference on Decision and Control (CDC), 2019. PDF
Large-Signal Stability Analysis of Pulsed Constant Power Loads via Sum-of-Squares Optimization.
J. Guthrie. IEEE Electric Ship Technologies Symposium (ESTS), 2019. PDF
Various Projects
Piecewise-Polynomial Outer Approximations of Obstacles for Optimization-Based Collision Avoidance.
J. Guthrie. PDF
Obstacle Avoidance via Model Predictive Control with Spatial Constraints.
Class project for ME8285 Vehicle Dynamics and Control PDF