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Dennis Gramlich
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2020 – today
- 2024
- [j3]Hannah Häring, Dennis Gramlich, Christian Ebenbauer, Carsten W. Scherer:
Trajectory generation for the unicycle model using semidefinite relaxations. Eur. J. Control 80: 101063 (2024) - [c5]Dennis Gramlich, Carsten W. Scherer, Hannah Häring, Christian Ebenbauer:
Synthesis of constrained robust feedback policies and model predictive control. ECC 2024: 3476-3483 - [i11]Patricia Pauli, Dennis Gramlich, Frank Allgöwer
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State space representations of the Roesser type for convolutional layers. CoRR abs/2403.11938 (2024) - [i10]Dennis Gramlich, Sheng Gao, Hao Zhang, Carsten W. Scherer, Christian Ebenbauer:
On moment relaxations for linear state feedback controller synthesis with non-convex quadratic costs and constraints. CoRR abs/2403.15228 (2024) - [i9]Patricia Pauli, Dennis Gramlich, Frank Allgöwer
Lipschitz constant estimation for general neural network architectures using control tools. CoRR abs/2405.01125 (2024) - 2023
- [j2]Dennis Gramlich
A Structure Exploiting SDP Solver for Robust Controller Synthesis. IEEE Control. Syst. Lett. 7: 1831-1836 (2023) - [c4]Patricia Pauli, Dennis Gramlich, Frank Allgöwer:
Lipschitz constant estimation for 1D convolutional neural networks. L4DC 2023: 1321-1332 - [i8]Dennis Gramlich, Patricia Pauli, Carsten W. Scherer, Frank Allgöwer
Convolutional Neural Networks as 2-D systems. CoRR abs/2303.03042 (2023) - [i7]Dennis Gramlich, Carsten W. Scherer, Hannah Häring, Christian Ebenbauer:
Synthesis of constrained robust feedback policies and model predictive control. CoRR abs/2310.11404 (2023) - 2022
- [j1]Dennis Gramlich, Christian Ebenbauer, Carsten W. Scherer:
Synthesis of accelerated gradient algorithms for optimization and saddle point problems using Lyapunov functions and LMIs. Syst. Control. Lett. 165: 105271 (2022) - [c3]Dennis Gramlich, Carsten W. Scherer, Christian Ebenbauer:
Robust Differential Dynamic Programming. CDC 2022: 1714-1721 - [c2]Patricia Pauli, Niklas Funcke, Dennis Gramlich, Mohamed Amine Msalmi, Frank Allgöwer
Neural network training under semidefinite constraints. CDC 2022: 2731-2736 - [i6]Patricia Pauli, Niklas Funcke, Dennis Gramlich, Mohamed Amine Msalmi, Frank Allgöwer:
Neural network training under semidefinite constraints. CoRR abs/2201.00632 (2022) - [i5]Dennis Gramlich, Carsten W. Scherer, Christian Ebenbauer:
Robust Differential Dynamic Programming. CoRR abs/2205.12632 (2022) - [i4]Dennis Gramlich, Christian Ebenbauer:
Fast identification and stabilization of unknown linear systems. CoRR abs/2208.10392 (2022) - [i3]Patricia Pauli, Dennis Gramlich, Frank Allgöwer:
Lipschitz constant estimation for 1D convolutional neural networks. CoRR abs/2211.15253 (2022) - 2021
- [c1]Patricia Pauli, Dennis Gramlich, Julian Berberich
Linear systems with neural network nonlinearities: Improved stability analysis via acausal Zames-Falb multipliers. CDC 2021: 3611-3618 - [i2]Patricia Pauli, Dennis Gramlich, Julian Berberich, Frank Allgöwer:
Linear systems with neural network nonlinearities: Improved stability analysis via acausal Zames-Falb multipliers. CoRR abs/2103.17106 (2021) - 2020
- [i1]Dennis Gramlich, Christian Ebenbauer, Carsten W. Scherer:
Convex Synthesis of Accelerated Gradient Algorithms for Optimization and Saddle Point Problems using Lyapunov functions. CoRR abs/2006.09946 (2020)
Coauthor Index
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