Publications (18)
Robustly Learning Regions of Attraction from Fixed Data
Matteo Tacchi, Yingzhao Lian, Colin Jones
While stability analysis is a mainstay for control science, especially computing regions of attraction of equilibrium points, until recently most stability analysis tools always re…
Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems
Truong X. Nghiem, Ján DrgoÅa, Colin Jones +10
Physics-informed machine learning (PIML) is a set of methods and tools that systematically integrate machine learning (ML) algorithms with physical constraints and abstract mathema…
Towards Global Optimal Control via Koopman Lifts
Mario E. Villanueva, Colin Jones, Boris Houska
This paper introduces a framework for solving time-autonomous nonlinear infinite horizon optimal control problems, under the assumption that all minimizers satisfy Pontryagin's nec…
Reflections from the 2024 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry
Yoel Zimmermann, Adib Bazgir, Zartashia Afzal +141
Here, we present the outcomes from the second Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry, which engaged participants across global hyb…
Distributed Model Predictive Control of Buildings and Energy Hubs
Nicolas Lefebure, Mohammad Khosravi, Mathias Hudoba de Badyn +4
Model predictive control (MPC) strategies can be applied to the coordination of energy hubs to reduce their energy consumption. Despite the effectiveness of these techniques, their…
Representation of the Terrestrial Carbon Cycle in CMIP6
Bettina K. Gier, Manuel Schlund, Pierre Friedlingstein +4
Improvements in the representation of the land carbon cycle in Earth system models participating in the Coupled Model Intercomparison Project Phase 6 (CMIP6) include interactive tr…
A Generalized Representer Theorem for Hilbert Space - Valued Functions
Sanket Diwale, Colin Jones
The necessary and sufficient conditions for existence of a generalized representer theorem are presented for learning Hilbert space-valued functions. Representer theorems involving…
A warmstarting technique for general conic optimization in interior point methods
Yuwen Chen, Paul Goulart, Colin Jones
We propose a novel warmstarting method for primal-dual interior point methods based on a smoothing operator that generates a starting point on the central path from the previous op…
Real-time Nonlinear MPC Strategy with Full Vehicle Validation for Autonomous Driving
Jean Pierre Allamaa, Petr Listov, Herman Van der Auweraer +2
In this paper, we present the development and deployment of an embedded optimal control strategy for autonomous driving applications on a Ford Focus road vehicle. Non-linear model…
Regional impacts poorly constrained by climate sensitivity
Ranjini Swaminathan, Jacob Schewe, Jeremy Walton +9
Climate risk assessments must account for a wide range of possible futures, so scientists often use simulations made by numerous global climate models to explore potential changes…
PolyFormer: learning efficient reformulations for scalable optimization under complex physical constraints
Yilin Wen, Yi Guo, Bo Zhao +4
Real-world optimization problems are often constrained by complex physical laws that limit computational scalability. These constraints are inherently tied to complex regions, and…
Latent Linear Quadratic Regulator for Robotic Control Tasks
Yuan Zhang, Shaohui Yang, Toshiyuki Ohtsuka +2
Model predictive control (MPC) has played a more crucial role in various robotic control tasks, but its high computational requirements are concerning, especially for nonlinear dyn…
An ADMM-based Coordination and Control Strategy for PV and Storage to Dispatch Stochastic Prosumers: Theory and Experimental Validation
Rahul Gupta, Fabrizio Sossan, Enrica Scolari +4
This paper describes a two-layer control and coordination framework for distributed energy resources. The lower layer is a real-time model predictive control (MPC) executed at 10 s…
Safe Physics-Informed Machine Learning for Dynamics and Control
Jan Drgona, Truong X. Nghiem, Thomas Beckers +6
This tutorial paper focuses on safe physics-informed machine learning in the context of dynamics and control, providing a comprehensive overview of how to integrate physical models…
Quantum Variational Rewinding for Time Series Anomaly Detection
Jack S. Baker, Haim Horowitz, Santosh Kumar Radha +6
Electron dynamics, financial markets and nuclear fission reactors, though seemingly unrelated, all produce observable characteristics evolving with time. Within this broad scope, d…
Grounding Generative Policies in Physics: Optimization-Guided Diffusion for Robot Control
Sabrina Bodmer, René Zurbrügg, Tifanny Portela +5
Diffusion models sample effectively from high-dimensional, multimodal distributions, but their outputs may violate deployment constraints. For task-space robot policies, generated…
Formalizing dimensional analysis using the Lean theorem prover
Maxwell P. Bobbin, Colin Jones, John Velkey +1
Dimensional analysis is fundamental to the formulation and validation of physical laws, ensuring that equations are dimensionally homogeneous and scientifically meaningful. In this…
An output-sensitive algorithm for multi-parametric LCPs with sufficient matrices
Sebastiano Columbano, Komei Fukuda, Colin Jones
This paper considers the multi-parametric linear complementarity problem (pLCP) with sufficient matrices. The main result is an algorithm to find a polyhedral decomposition of the…