activity
20242026
collaborators

5 papers

eess.SY2026

Compute-Constrained Safety Filters with Neuromorphic Event Triggering

Tochukwu E. Ogri, Opeyemi Owolabi, Luke Fina +2

Safety filters that rely on control barrier function (CBF) quadratic programs (QPs) are typically analyzed under the assumption that the QP is solved instantaneously, although nonz…

math.OC2026

Uniting Iteration Limits for Mixed-Integer Quadratic MPC

Luke Fina, Christopher Petersen

Iteration limited model predictive control (MPC) can stabilize a feedback control system under sufficient conditions; this work explores combining a low iteration limit MPC with a…

math.OC2025

A Hybrid Perspective on Suboptimal Mixed-Integer Quadratic Programming

Luke Fina, Christopher Petersen

This work solves suboptimal mixed-integer quadratic programs recursively for feedback control of dynamical systems. The proposed framework leverages parametric mixed-integer quadra…

eess.SY2025

Collaborative Spacecraft Servicing under Partial Feedback using Lyapunov-based Deep Neural Networks

Cristian F. Nino, Omkar Sudhir Patil, Christopher D. Petersen +2

Multi-agent systems are increasingly applied in space missions, including distributed space systems, resilient constellations, and autonomous rendezvous and docking operations. A c…

math.OC2024

Distributed Asynchronous Mixed-Integer Linear Programming with Feasibility Guarantees

Luke Fina, Christopher Petersen, Matthew Hale

In this paper we solve mixed-integer linear programs (MILPs) via distributed asynchronous saddle point computation. This work is motivated by the MILPs being able to model problems…