| Chance-constrained quasi-convex optimization with application to data-driven switched systems control GO Berger, RM Jungers, Z Wang Learning for dynamics and control, 571-583, 2021 | 25 | 2021 |
| Equivalent polyadic decompositions of matrix multiplication tensors GO Berger, PA Absil, L De Lathauwer, RM Jungers, M Van Barel Journal of Computational and Applied Mathematics 406, 113941, 2022 | 13 | 2022 |
| Worst-case topological entropy and minimal data rate for state observation of switched linear systems GO Berger, RM Jungers Proceedings of the 23rd international conference on hybrid systems …, 2020 | 12 | 2020 |
| Quantized stabilization of continuous-time switched linear systems GO Berger, RM Jungers IEEE Control Systems Letters 5 (1), 319-324, 2020 | 9 | 2020 |
| On the quality of first-order approximation of functions with Hölder continuous gradient GO Berger, PA Absil, RM Jungers, Y Nesterov Journal of Optimization Theory and Applications 185, 17-33, 2020 | 8 | 2020 |
| Data-driven feedback stabilization of switched linear systems with probabilistic stability guarantees Z Wang, GO Berger, RM Jungers 2021 60th IEEE Conference on Decision and Control (CDC), 4400-4405, 2021 | 7 | 2021 |
| Path-complete -dominant switching linear systems GO Berger, F Forni, RM Jungers 2018 IEEE Conference on Decision and Control (CDC), 6446-6451, 2018 | 7 | 2018 |
| Learning fixed-complexity polyhedral Lyapunov functions from counterexamples GO Berger, S Sankaranarayanan 2022 IEEE 61st Conference on Decision and Control (CDC), 3250-3255, 2022 | 6 | 2022 |
| Counterexample-guided computation of polyhedral Lyapunov functions for piecewise linear systems GO Berger, S Sankaranarayanan Automatica 155, 111165, 2023 | 5 | 2023 |
| Verified path following using neural control lyapunov functions A Reed, GO Berger, S Sankaranarayanan, C Heckman Conference on Robot Learning, 1949-1958, 2023 | 5 | 2023 |
| An algorithm for learning switched linear dynamics from data G Berger, M Narasimhamurthy, K Watanabe, M Lahijanian, ... Advances in Neural Information Processing Systems 35, 30419-30431, 2022 | 5 | 2022 |
| Data-driven invariant subspace identification for black-box switched linear systems GO Berger, RM Jungers, Z Wang 2022 IEEE 61st Conference on Decision and Control (CDC), 32-37, 2022 | 5 | 2022 |
| A converse Lyapunov theorem for p-dominant switched linear systems GO Berger, RM Jungers 2019 18th European control conference (ECC), 1263-1268, 2019 | 5 | 2019 |
| p-dominant switched linear systems GO Berger, RM Jungers Automatica 132, 109801, 2021 | 4 | 2021 |
| Finite data-rate feedback stabilization of continuous-time switched linear systems with unknown switching signal GO Berger, RM Jungers 2020 59th IEEE Conference on Decision and Control (CDC), 3823-3828, 2020 | 4 | 2020 |
| Formal Methods for Computing Hyperbolic Invariant Sets for Nonlinear Systems GO Berger, RM Jungers IEEE Control Systems Letters 4 (1), 235-240, 2019 | 4 | 2019 |
| Bounds on set exit times of affine systems, using Linear Matrix Inequalities GO Berger, M Rabi IFAC-PapersOnLine 54 (5), 283-288, 2021 | 3 | 2021 |
| Topological entropy and minimal data rate for state observation of LTV systems GO Berger, RM Jungers IFAC-PapersOnLine 53 (2), 3060-3065, 2020 | 3 | 2020 |
| Algorithms for Identifying Flagged and Guarded Linear Systems G Berger, M Narasimhamurthy, S Sankaranarayanan Proceedings of the 27th ACM International Conference on Hybrid Systems …, 2024 | 2 | 2024 |
| Template-Based Piecewise Affine Regression GO Berger, S Sankaranarayanan Learning for Dynamics and Control Conference, 509-520, 2023 | 2 | 2023 |
Raphael JungersProfessor of Applied Mathematics, Université catholique de Louvain, ICTEAMPotvrđena adresa e-pošte na uclouvain.be
