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Mathias Hudoba de Badyn
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Exotic states in a simple network of nanoelectromechanical oscillators
MH Matheny, J Emenheiser, W Fon, A Chapman, A Salova, M Rohden, ...
Science 363 (6431), eaav7932, 2019
1062019
Controllability and stabilizability analysis of signed consensus networks
S Alemzadeh, M Hudoba de Badyn, M Mesbahi
2017 IEEE Conference on Control Technology and Applications (CCTA), 55-60, 2017
292017
Characterizing thermal sweeping: a rapid disc dispersal mechanism
L Owen, JE, Hudoba de Badyn, M., Clarke, CJ, & Robins
MNRAS 436 (1430), 6.2, 0
29*
Input Convex Neural Networks for Building MPC
F Bünning, A Schalbetter, A Aboudonia, MH de Badyn, P Heer, J Lygeros
Learning for Dynamics and Control, 251-262, 2021
232021
Optimal mass transport and kernel density estimation for state-dependent networked dynamic systems
M Hudoba de Badyn, U Eren, B Acikmese, M Mesbahi
2018 IEEE Conference on Decision and Control (CDC), 1225-1230, 2018
222018
Network entropy: A system-theoretic perspective
M Hudoba de Badyn, A Chapman, M Mesbahi
2015 IEEE 54th Annual Conference on Decision and Control (CDC), 5512-5517, 2015
20*2015
Emergent geometry of membranes
M Hudoba de Badyn, JL Karczmarek, P Sabella-Garnier, KHC Yeh
Journal of High Energy Physics 2015 (11), 89, 2015
19*2015
Sampled-Data Online Feedback Equilibrium Seeking: Stability and Tracking
G Belgioioso, D Liao-McPherson, M Hudoba de Badyn, S Bolognani, ...
arXiv preprint arXiv:2103.13988, 2021
142021
Controllability and data-driven identification of bipartite consensus on nonlinear signed networks
M Hudoba de Badyn, S Alemzadeh, M Mesbahi
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 3557-3562, 2017
142017
Growing controllable networks via whiskering and submodular optimization
M Hudoba de Badyn, M Mesbahi
2016 IEEE 55th Conference on Decision and Control (CDC), 867-872, 2016
142016
Distributed Model Predictive Control of Buildings and Energy Hubs
N Lefebure, M Khosravi, M Hudoba de Badyn, F Bünning, J Lygeros, ...
Energy and Buildings 259, 111806, 2021
132021
Physics-informed linear regression is competitive with two Machine Learning methods in residential building MPC
F Bünning, B Huber, A Schalbetter, A Aboudonia, MH de Badyn, P Heer, ...
Applied Energy 310, 118491, 2022
10*2022
H2 Performance of Series-Parallel Networks: A Compositional Perspective
M Hudoba de Badyn, M Mesbahi
IEEE Transactions on Automatic Control 20, 1-13, 2020
9*2020
Large-scale distributed Kalman filtering via an optimization approach
M Hudoba de Badyn, M Mesbahi
IFAC-PapersOnLine 50 (1), 10742-10747, 2017
92017
Performance and design of consensus on matrix-weighted and time scaled graphs
DR Foight, M Hudoba de Badyn, M Mesbahi
IEEE Transactions on Control of Network Systems, 2020
82020
Efficient Computation of Performance on Series-Parallel Networks
M Hudoba de Badyn, M Mesbahi
2019 American Control Conference (ACC), 3364-3369, 2019
62019
Time scale design for network resilience
DR Foight, M Hudoba de Badyn, M Mesbahi
2019 IEEE 58th Conference on Decision and Control (CDC), 2096-2101, 2019
52019
Discrete-time linear-quadratic regulation via optimal transport
MH De Badyn, E Miehling, D Janak, B Açıkmeşe, M Mesbahi, T Başar, ...
2021 60th IEEE Conference on Decision and Control (CDC), 3060-3065, 2021
42021
Distributed feedback optimisation for robotic coordination
A Terpin, S Fricker, M Perez, M Hudoba de Badyn, F Dörfler
2022 American Control Conference (ACC), 3710-3715, 2022
32022
Graph-theoretic optimization for edge consensus
M Hudoba de Badyn, D Calderone, DR Foight, M Mesbahi, RS Smith
Mathematical Theory of Networks and Systems, 2021
3*2021
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