Dennis Gramlich

24 papers Journal 17Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Convolutional neural networks as 2-D systems.
Autom.
Dennis Gramlich, Patricia Pauli, Carsten W. Scherer, Christian Ebenbauer
2025 J jnl
Distributionally robust LMI synthesis for LTI systems.
CoRR
Dennis Gramlich, Shuhao Yan, Carsten W. Scherer, Christian Ebenbauer
2025 J jnl
Optimal Stochastic Injection Attack Strategy Against Discrete Time-Varying System via Moment Matrices.
IEEE Trans Autom. Sci. Eng.
Sheng Gao, Dennis Gramlich, Hao Zhang, Huaicheng Yan, Christian Ebenbauer
2025 — conf
Reducing Conservatism in Robust Data-Driven MPC via the S-Variable Method and Time-varying Lyapunov Functions.
CDC
Hoang Hai Nguyen, Dennis Gramlich, Christian Ebenbauer, Rolf Findeisen
2024 J jnl
Lipschitz constant estimation for general neural network architectures using control tools.
CoRR
Patricia Pauli, Dennis Gramlich, Frank Allgöwer
2024 — conf
On moment relaxations for linear state feedback controller synthesis with non-convex quadratic costs and constraints.
CDC
Dennis Gramlich, Sheng Gao, Hao Zhang, Carsten W. Scherer, Christian Ebenbauer
2024 J jnl
On moment relaxations for linear state feedback controller synthesis with non-convex quadratic costs and constraints.
CoRR
Dennis Gramlich, Sheng Gao, Hao Zhang, Carsten W. Scherer, Christian Ebenbauer
2024 J jnl
State space representations of the Roesser type for convolutional layers.
CoRR
Patricia Pauli, Dennis Gramlich, Frank Allgöwer
2024 — conf
Synthesis of constrained robust feedback policies and model predictive control.
ECC
Dennis Gramlich, Carsten W. Scherer, Hannah Häring, Christian Ebenbauer
2024 J jnl
Trajectory generation for the unicycle model using semidefinite relaxations.
Eur. J. Control
Hannah Häring, Dennis Gramlich, Christian Ebenbauer, Carsten W. Scherer
2023 J jnl
A Structure Exploiting SDP Solver for Robust Controller Synthesis.
IEEE Control. Syst. Lett.
Dennis Gramlich, Tobias Holicki, Carsten W. Scherer, Christian Ebenbauer
2023 J jnl
Convolutional Neural Networks as 2-D systems.
CoRR
Dennis Gramlich, Patricia Pauli, Carsten W. Scherer, Frank Allgöwer, Christian Ebenbauer
2023 — conf
Lipschitz constant estimation for 1D convolutional neural networks.
L4DC
Patricia Pauli, Dennis Gramlich, Frank Allgöwer
2023 J jnl
Synthesis of constrained robust feedback policies and model predictive control.
CoRR
Dennis Gramlich, Carsten W. Scherer, Hannah Häring, Christian Ebenbauer
2022 J jnl
Fast identification and stabilization of unknown linear systems.
CoRR
Dennis Gramlich, Christian Ebenbauer
2022 J jnl
Lipschitz constant estimation for 1D convolutional neural networks.
CoRR
Patricia Pauli, Dennis Gramlich, Frank Allgöwer
2022 — conf
Neural network training under semidefinite constraints.
CDC
Patricia Pauli, Niklas Funcke, Dennis Gramlich, Mohamed Amine Msalmi, Frank Allgöwer
2022 J jnl
Neural network training under semidefinite constraints.
CoRR
Patricia Pauli, Niklas Funcke, Dennis Gramlich, Mohamed Amine Msalmi, Frank Allgöwer
2022 — conf
Robust Differential Dynamic Programming.
CDC
Dennis Gramlich, Carsten W. Scherer, Christian Ebenbauer
2022 J jnl
Robust Differential Dynamic Programming.
CoRR
Dennis Gramlich, Carsten W. Scherer, Christian Ebenbauer
2022 J jnl
Synthesis of accelerated gradient algorithms for optimization and saddle point problems using Lyapunov functions and LMIs.
Syst. Control. Lett.
Dennis Gramlich, Christian Ebenbauer, Carsten W. Scherer
2021 — conf
Linear systems with neural network nonlinearities: Improved stability analysis via acausal Zames-Falb multipliers.
CDC
Patricia Pauli, Dennis Gramlich, Julian Berberich, Frank Allgöwer
2021 J jnl
Linear systems with neural network nonlinearities: Improved stability analysis via acausal Zames-Falb multipliers.
CoRR
Patricia Pauli, Dennis Gramlich, Julian Berberich, Frank Allgöwer
2020 J jnl
Convex Synthesis of Accelerated Gradient Algorithms for Optimization and Saddle Point Problems using Lyapunov functions.
CoRR
Dennis Gramlich, Christian Ebenbauer, Carsten W. Scherer