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Benita Nortmann
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2020 – today
- 2024
- [j4]Maria Luisa Scarpa, Benita Nortmann, Mario Sassano, Thulasi Mylvaganam:
Feedback Nash Equilibrium Solutions of Two-Player LQ Differential Games: Synthesis and Analysis via a State/Costate Interpretation. IEEE Control. Syst. Lett. 8: 1451-1456 (2024) - [j3]Andrea Monti, Benita Nortmann, Thulasi Mylvaganam, Mario Sassano:
Feedback and Open-Loop Nash Equilibria for LQ Infinite-Horizon Discrete-Time Dynamic Games. SIAM J. Control. Optim. 62(3): 1417-1436 (2024) - [j2]Benita Nortmann, Andrea Monti, Mario Sassano, Thulasi Mylvaganam:
Nash Equilibria for Linear Quadratic Discrete-Time Dynamic Games via Iterative and Data-Driven Algorithms. IEEE Trans. Autom. Control. 69(10): 6561-6575 (2024) - [c5]Pranoy Das, Benita Nortmann, Lillian J. Ratliff, Vijay Gupta, Thulasi Mylvaganam:
Learning in Stochastic Stackelberg Games. ACC 2024: 3557-3562 - 2023
- [j1]Benita Nortmann, Thulasi Mylvaganam:
Direct Data-Driven Control of Linear Time-Varying Systems. IEEE Trans. Autom. Control. 68(8): 4888-4895 (2023) - [i2]Andrea Monti, Benita Nortmann, Thulasi Mylvaganam, Mario Sassano:
Feedback and Open-Loop Nash Equilibria for LQ Infinite-Horizon Discrete-Time Dynamic Games. CoRR abs/2307.14898 (2023) - 2022
- [c4]Maria Luisa Scarpa, Benita Nortmann, Kristin Y. Pettersen, Thulasi Mylvaganam:
Data-driven control of planar snake robot locomotion. CDC 2022: 1823-1828 - [c3]Benita Nortmann, Andrea Monti, Thulasi Mylvaganam, Mario Sassano:
Nash Equilibria for scalar LQ games: iterative and data-driven algorithms. CDC 2022: 3801-3806 - [c2]Benita Nortmann, Thulasi Mylvaganam:
Data-driven cost representation for optimal control and its relevance to a class of asymmetric linear quadratic dynamic games. ECC 2022: 2185-2190 - 2021
- [i1]Benita Nortmann, Thulasi Mylvaganam:
Direct data-driven control of linear time-varying systems. CoRR abs/2111.02342 (2021) - 2020
- [c1]Benita Nortmann, Thulasi Mylvaganam:
Data-Driven Control of Linear Time-Varying Systems. CDC 2020: 3939-3944
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