Mathias Hudoba de Badyn

According to our database, Mathias Hudoba de Badyn authored at least 21 papers between 2015 and 2024.

Collaborative distances:

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

2024

Self-Tuning Network Control Architectures with Joint Sensor and Actuator Selection.

Karthik Ganapathy, Iman Shames, Mathias Hudoba de Badyn, Tyler H. Summers

CoRR, 2024

2023

Degradation-aware data-enabled predictive control of energy hubs.

Varsha Behrunani, Marta Zagórowska, Mathias Hudoba de Badyn, Francesco Ricca, Philipp Heer, John Lygeros

CoRR, 2023

2022

Stability and Robustness of Distributed Suboptimal Model Predictive Control.

Giuseppe Belgioioso, Dominic Liao-McPherson, Mathias Hudoba de Badyn, Nicolas Pelzmann, John Lygeros, Florian Dörfler

CoRR, 2022

Self-Tuning Network Control Architectures.

Tyler H. Summers, Karthik Ganapathy, Iman Shames, Mathias Hudoba de Badyn

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Distributed Feedback Optimisation for Robotic Coordination.

Antonio Terpin, Sylvain Fricker, Michel Perez, Mathias Hudoba de Badyn, Florian Dörfler

Proceedings of the American Control Conference, 2022

2021

${\mathcal {H}_2}$ Performance of Series-Parallel Networks: A Compositional Perspective.

Mathias Hudoba de Badyn, Mehran Mesbahi

IEEE Trans. Autom. Control., 2021

Decentralized Trajectory Optimization for Multi-Agent Ergodic Exploration.

Dimitris Gkouletsos, Andrea Iannelli, Mathias Hudoba de Badyn, John Lygeros

IEEE Robotics Autom. Lett., 2021

H∞ network optimization for edge consensus.

Omar Farhat, Dany Abou Jaoude, Mathias Hudoba de Badyn

Eur. J. Control, 2021

Physics-informed linear regression is a competitive approach compared to Machine Learning methods in building MPC.

Felix Bünning, Benjamin Huber, Adrian Schalbetter, Ahmed Aboudonia, Mathias Hudoba de Badyn, Philipp Heer, Roy S. Smith, John Lygeros

CoRR, 2021

Distributed Model Predictive Control of Buildings and Energy Hubs.

Nicolas Lefebure, Mohammad Khosravi, Mathias Hudoba de Badyn, Felix Bünning, John Lygeros, Colin N. Jones, Roy S. Smith

CoRR, 2021

Input Convex Neural Networks for Building MPC.

Felix Bünning, Adrian Schalbetter, Ahmed Aboudonia, Mathias Hudoba de Badyn, Philipp Heer, John Lygeros

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Sampled-Data Online Feedback Equilibrium Seeking: Stability and Tracking.

Giuseppe Belgioioso, Dominic Liao-McPherson, Mathias Hudoba de Badyn, Saverio Bolognani, John Lygeros, Florian Dörfler

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

Discrete-Time Linear-Quadratic Regulation via Optimal Transport.

Mathias Hudoba de Badyn, Erik Miehling, Dylan Janak, Behçet Açikmese, Mehran Mesbahi, Tamer Basar, John Lygeros, Roy S. Smith

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

2020

Performance and Design of Consensus on Matrix-Weighted and Time-Scaled Graphs.

Dillon R. Foight, Mathias Hudoba de Badyn, Mehran Mesbahi

IEEE Trans. Control. Netw. Syst., 2020

2019

Time Scale Design for Network Resilience.

Dillon R. Foight, Mathias Hudoba de Badyn, Mehran Mesbahi

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Efficient Computation of H2 Performance on Series-Parallel Networks.

Mathias Hudoba de Badyn, Mehran Mesbahi

Proceedings of the 2019 American Control Conference, 2019

2018

Optimal Mass Transport and Kernel Density Estimation for State-Dependent Networked Dynamic Systems.

Mathias Hudoba de Badyn, Utku Eren, Behçet Açikmese, Mehran Mesbahi

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017

Controllability and data-driven identification of bipartite consensus on nonlinear signed networks.

Mathias Hudoba de Badyn, Siavash Alemzadeh, Mehran Mesbahi

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Controllability and stabilizability analysis of signed consensus networks.

Siavash Alemzadeh, Mathias Hudoba de Badyn, Mehran Mesbahi

Proceedings of the IEEE Conference on Control Technology and Applications, 2017

2016

Growing controllable networks via whiskering and submodular optimization.

Mathias Hudoba de Badyn, Mehran Mesbahi

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015

Network entropy: A system-theoretic perspective.

Mathias Hudoba de Badyn, Airlie Chapman, Mehran Mesbahi

Proceedings of the 54th IEEE Conference on Decision and Control, 2015