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ORCIDGuillaume O. Berger
Person information
- affiliation: University of Colorado Boulder, CO, USA
- affiliation (Ph.D.): Université Catholique of Louvain, Belgium
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2020 – today
- 2024
[c16]Guillaume O. Berger
, Masoumeh Ghanbarpour, Sriram Sankaranarayanan:
Cone-Based Abstract Interpretation for Nonlinear Positive Invariant Synthesis. HSCC 2024: 12:1-12:16- [c15]Guillaume O. Berger, Monal Narasimhamurthy, Sriram Sankaranarayanan:
Algorithms for Identifying Flagged and Guarded Linear Systems. HSCC 2024: 15:1-15:13 - 2023
- [j8]Guillaume O. Berger, Sriram Sankaranarayanan:
Counterexample-guided computation of polyhedral Lyapunov functions for piecewise linear systems. Autom. 155: 111165 (2023) - [c14]Guillaume O. Berger, Sriram Sankaranarayanan:
Template-Based Piecewise Affine Regression. L4DC 2023: 509-520 - [i7]Guillaume O. Berger, Sriram Sankaranarayanan:
Template-Based Piecewise Affine Regression. CoRR abs/2305.08686 (2023) - 2022
- [j7]Guillaume O. Berger, Zheming Wang:
Comments on "Data driven stability analysis of black-box switched linear systems" [Automatica 109 (2019) 108533]. Autom. 142: 110412 (2022) - [j6]Guillaume O. Berger, Raphaël M. Jungers:
Worst-case topological entropy and minimal data rate for state estimation of switched linear systems. Commun. ACM 65(2): 111-118 (2022) - [j5]Guillaume O. Berger, Pierre-Antoine Absil, Lieven De Lathauwer, Raphaël M. Jungers, Marc Van Barel:
Equivalent polyadic decompositions of matrix multiplication tensors. J. Comput. Appl. Math. 406: 113941 (2022) - [c13]Guillaume O. Berger, Raphaël M. Jungers, Zheming Wang:
Data-driven invariant subspace identification for black-box switched linear systems. CDC 2022: 32-37 - [c12]Guillaume O. Berger, Sriram Sankaranarayanan:
Learning fixed-complexity polyhedral Lyapunov functions from counterexamples. CDC 2022: 3250-3255 - [c11]Alec Reed, Guillaume O. Berger, Sriram Sankaranarayanan, Christoffer Heckman:
Verified Path Following Using Neural Control Lyapunov Functions. CoRL 2022: 1949-1958 - [c10]Guillaume O. Berger, Monal Narasimhamurthy, Kandai Watanabe, Morteza Lahijanian, Sriram Sankaranarayanan:
An Algorithm for Learning Switched Linear Dynamics from Data. NeurIPS 2022 - [i6]Guillaume O. Berger, Sriram Sankaranarayanan:
Learning fixed-complexity polyhedral Lyapunov functions from counterexamples. CoRR abs/2204.06693 (2022) - [i5]Guillaume O. Berger, Sriram Sankaranarayanan:
Counterexample-guided computation of polyhedral Lyapunov functions for hybrid systems. CoRR abs/2206.11176 (2022) - [i4]Guillaume O. Berger, Raphaël M. Jungers, Zheming Wang:
Data-driven invariant subspace identification for black-box switched linear systems. CoRR abs/2209.05320 (2022) - 2021
- [j4]Guillaume O. Berger, Raphaël M. Jungers:
p-dominant switched linear systems. Autom. 132: 109801 (2021) - [j3]Guillaume O. Berger, Raphaël M. Jungers:
Quantized Stabilization of Continuous-Time Switched Linear Systems. IEEE Control. Syst. Lett. 5(1): 319-324 (2021) - [c9]Guillaume O. Berger, Maben Rabi:
Bounds on set exit times of affine systems, using Linear Matrix Inequalities. ADHS 2021: 283-288 - [c8]Guillaume O. Berger, Raphaël M. Jungers:
Complexity of the LTI system trajectory boundedness problem. CDC 2021: 1832-1837 - [c7]Zheming Wang, Guillaume O. Berger, Raphaël M. Jungers:
Data-driven feedback stabilization of switched linear systems with probabilistic stability guarantees. CDC 2021: 4400-4405 - [c6]Guillaume O. Berger, Raphaël M. Jungers, Zheming Wang:
Chance-constrained quasi-convex optimization with application to data-driven switched systems control. L4DC 2021: 571-583 - [i3]Guillaume O. Berger, Raphaël M. Jungers, Zheming Wang:
Chance-constrained quasi-convex optimization with application to data-driven switched systems control. CoRR abs/2101.01415 (2021) - [i2]Guillaume O. Berger, Raphaël M. Jungers:
Complexity of the LTI system trajectory boundedness problem. CoRR abs/2108.00728 (2021) - 2020
- [j2]Guillaume O. Berger, Raphaël M. Jungers:
Formal Methods for Computing Hyperbolic Invariant Sets for Nonlinear Systems. IEEE Control. Syst. Lett. 4(1): 235-240 (2020) - [j1]Guillaume O. Berger, Pierre-Antoine Absil, Raphaël M. Jungers, Yurii E. Nesterov:
On the Quality of First-Order Approximation of Functions with Hölder Continuous Gradient. J. Optim. Theory Appl. 185(1): 17-33 (2020) - [c5]Guillaume O. Berger, Raphaël M. Jungers:
Finite Data-Rate Feedback Stabilization of Continuous-Time Switched Linear Systems with Unknown Switching Signal. CDC 2020: 3823-3828 - [c4]Guillaume O. Berger, Raphaël M. Jungers:
Worst-case topological entropy and minimal data rate for state observation of switched linear systems. HSCC 2020: 4:1-4:11
2010 – 2019
- 2019
- [c3]Guillaume O. Berger, Raphaël M. Jungers:
A Converse Lyapunov Theorem for p-dominant Switched Linear Systems. ECC 2019: 1263-1268 - [c2]Guillaume O. Berger, Raphaël M. Jungers:
Formal methods for computing hyperbolic invariant sets for nonlinear systems: poster abstract. HSCC 2019: 260-261 - [i1]Guillaume O. Berger, Pierre-Antoine Absil, Lieven De Lathauwer, Raphaël M. Jungers, Marc Van Barel:
Equivalent Polyadic Decompositions of Matrix Multiplication Tensors. CoRR abs/1902.03950 (2019) - 2018
- [c1]Guillaume O. Berger, Fulvio Forni, Raphaël M. Jungers:
Path-Complete p-Dominant Switching Linear Systems. CDC 2018: 6446-6451
Coauthor Index
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