Network entropy: A system-theoretic perspective. - Mathias Hudoba de Badyn; Airlie Chapman; Mehran Mesbahi (CDC, 2015)

Growing controllable networks via whiskering and submodular optimization. - Mathias Hudoba de Badyn; Mehran Mesbahi (CDC, 2016)

Controllability and stabilizability analysis of signed consensus networks. - Siavash Alemzadeh; Mathias Hudoba de Badyn; Mehran Mesbahi (CCTA, 2017)

Controllability and data-driven identification of bipartite consensus on nonlinear signed networks. - Mathias Hudoba de Badyn; Siavash Alemzadeh; Mehran Mesbahi (CDC, 2017)

Optimal Mass Transport and Kernel Density Estimation for State-Dependent Networked Dynamic Systems. - Mathias Hudoba de Badyn; Utku Eren; Behçet Açikmese; Mehran Mesbahi (CDC, 2018)

Efficient Computation of H2 Performance on Series-Parallel Networks. - Mathias Hudoba de Badyn; Mehran Mesbahi (ACC, 2019)

Time Scale Design for Network Resilience. - Dillon R. Foight; Mathias Hudoba de Badyn; Mehran Mesbahi (CDC, 2019)

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)

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 (CDC, 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 (CDC, 2021)

Input Convex Neural Networks for Building MPC. - Felix Bünning; Adrian Schalbetter; Ahmed Aboudonia; Mathias Hudoba de Badyn; Philipp Heer; John Lygeros (L4DC, 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)

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)

H∞ network optimization for edge consensus. - Omar Farhat; Dany Abou Jaoude; Mathias Hudoba de Badyn (Eur. J. 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)

${ mathcal {H}_2}$ Performance of Series-Parallel Networks: A Compositional Perspective. - Mathias Hudoba de Badyn; Mehran Mesbahi (IEEE Trans. Autom. Control., 2021)

Distributed Feedback Optimisation for Robotic Coordination. - Antonio Terpin; Sylvain Fricker; Michel Perez; Mathias Hudoba de Badyn; Florian Dörfler (ACC, 2022)

Self-Tuning Network Control Architectures. - Tyler H. Summers; Karthik Ganapathy; Iman Shames; Mathias Hudoba de Badyn (CDC, 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)

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)

Self-Tuning Network Control Architectures with Joint Sensor and Actuator Selection. - Karthik Ganapathy; Iman Shames; Mathias Hudoba de Badyn; Tyler H. Summers (CoRR, 2024)

Online Feedback Equilibrium Seeking. - Giuseppe Belgioioso; Dominic Liao-McPherson; Mathias Hudoba de Badyn; Saverio Bolognani; Roy S. Smith; John Lygeros; Florian Dörfler (IEEE Trans. Autom. Control., 2025)

Semi-Data-Driven Model Predictive Control: A Physics-Informed Data-Driven Control Approach. - Sebastian Zieglmeier; Mathias Hudoba de Badyn; Narada D. Warakagoda; Thomas R. Krogstad; Paal Engelstad (CoRR, 2025)