Alex Devonport

According to our database, Alex Devonport authored at least 18 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Nonconvex scenario optimization for data-driven reachability.

Elizabeth Dietrich, Alex Devonport, Murat Arcak

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

2023

Data-Driven Reachability and Support Estimation With Christoffel Functions.

Alex Devonport, Forest Yang, Laurent El Ghaoui, Murat Arcak

IEEE Trans. Autom. Control., September, 2023

Contributions to the Statistical Foundation of Data-driven Control

Alex Devonport

PhD thesis, 2023

Frequency-domain Gaussian Process Models for H_∞ Uncertainties.

Alex Devonport, Peter Seiler, Murat Arcak

CoRR, 2023

Probabilistic Invariance for Gaussian Process State Space Models.

Paul Griffioen, Alex Devonport, Murat Arcak

Proceedings of the Learning for Dynamics and Control Conference, 2023

Frequency Domain Gaussian Process Models for H^∞ Uncertainties.

Alex Devonport, Peter Seiler, Murat Arcak

Proceedings of the Learning for Dynamics and Control Conference, 2023

2022

Machine Learning for Smart and Energy-Efficient Buildings.

Hari Prasanna Das, Yu-Wen Lin, Utkarsha Agwan, Lucas Spangher, Alex Devonport, Yu Yang, Ján Drgona, Adrian Chong, Stefano Schiavon, Costas J. Spanos

CoRR, 2022

2021

Data-Driven Reachability analysis and Support set Estimation with Christoffel Functions.

Alex Devonport, Forest Yang, Laurent El Ghaoui, Murat Arcak

CoRR, 2021

DaDRA: A Python Library for Data-Driven Reachability Analysis.

Jared Mejia, Alex Devonport, Murat Arcak

CoRR, 2021

Data-driven estimation of forward reachable sets.

Alex Devonport, Murat Arcak

Proceedings of the CAADCPS '21: Proceedings of the Workshop on Computation-Aware Algorithmic Design for Cyber-Physical Systems, 2021

Data-Driven Reachability Analysis with Christoffel Functions.

Alex Devonport, Forest Yang, Laurent El Ghaoui, Murat Arcak

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Symbolic Abstractions From Data: A PAC Learning Approach.

Alex Devonport, Adnane Saoud, Murat Arcak

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Estimating Reachable Sets with Scenario Optimization.

Alex Devonport, Murat Arcak

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Prospective Experiment for Reinforcement Learning on Demand Response in a Social Game Framework.

Lucas Spangher, Akash Gokul, Manan Khattar, Joseph Palakapilly, Akaash Tawade, Adam Bouyamourn, Alex Devonport, Costas J. Spanos

Proceedings of the e-Energy '20: The Eleventh ACM International Conference on Future Energy Systems, 2020

Bayesian Safe Learning and Control with Sum-of-Squares Analysis and Polynomial Kernels.

Alex Devonport, He Yin, Murat Arcak

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

PIRK: Scalable Interval Reachability Analysis for High-Dimensional Nonlinear Systems.

Alex Devonport, Mahmoud Khaled, Murat Arcak, Majid Zamani

Proceedings of the Computer Aided Verification - 32nd International Conference, 2020

Data-Driven Reachable Set Computation using Adaptive Gaussian Process Classification and Monte Carlo Methods.

Alex Devonport, Murat Arcak

Proceedings of the 2020 American Control Conference, 2020

2019

TIRA: toolbox for interval reachability analysis.

Pierre-Jean Meyer, Alex Devonport, Murat Arcak

Proceedings of the 22nd ACM International Conference on Hybrid Systems: Computation and Control, 2019