Dennis Gramlich

According to our database, Dennis Gramlich authored at least 18 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Convolutional neural networks as 2-D systems.

Dennis Gramlich, Patricia Pauli, Carsten W. Scherer, Christian Ebenbauer

Autom., 2026

2025

Distributionally robust LMI synthesis for LTI systems.

Dennis Gramlich, Shuhao Yan, Carsten W. Scherer, Christian Ebenbauer

CoRR, September, 2025

Optimal Stochastic Injection Attack Strategy Against Discrete Time-Varying System via Moment Matrices.

Sheng Gao, Dennis Gramlich, Hao Zhang, Huaicheng Yan, Christian Ebenbauer

IEEE Trans Autom. Sci. Eng., 2025

Reducing Conservatism in Robust Data-Driven MPC via the S-Variable Method and Time-varying Lyapunov Functions.

Hoang Hai Nguyen, Dennis Gramlich, Christian Ebenbauer, Rolf Findeisen

Proceedings of the 64th IEEE Conference on Decision and Control, 2025

2024

Trajectory generation for the unicycle model using semidefinite relaxations.

Hannah Häring, Dennis Gramlich, Christian Ebenbauer, Carsten W. Scherer

Eur. J. Control, 2024

Lipschitz constant estimation for general neural network architectures using control tools.

Patricia Pauli, Dennis Gramlich, Frank Allgöwer

CoRR, 2024

State space representations of the Roesser type for convolutional layers.

Patricia Pauli, Dennis Gramlich, Frank Allgöwer

CoRR, 2024

Synthesis of constrained robust feedback policies and model predictive control.

Dennis Gramlich, Carsten W. Scherer, Hannah Häring, Christian Ebenbauer

Proceedings of the European Control Conference, 2024

On moment relaxations for linear state feedback controller synthesis with non-convex quadratic costs and constraints.

Dennis Gramlich, Sheng Gao, Hao Zhang, Carsten W. Scherer, Christian Ebenbauer

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

2023

A Structure Exploiting SDP Solver for Robust Controller Synthesis.

Dennis Gramlich, Tobias Holicki, Carsten W. Scherer, Christian Ebenbauer

IEEE Control. Syst. Lett., 2023

Convolutional Neural Networks as 2-D systems.

Dennis Gramlich, Patricia Pauli, Carsten W. Scherer, Frank Allgöwer, Christian Ebenbauer

CoRR, 2023

Lipschitz constant estimation for 1D convolutional neural networks.

Patricia Pauli, Dennis Gramlich, Frank Allgöwer

Proceedings of the Learning for Dynamics and Control Conference, 2023

2022

Synthesis of accelerated gradient algorithms for optimization and saddle point problems using Lyapunov functions and LMIs.

Dennis Gramlich, Christian Ebenbauer, Carsten W. Scherer

Syst. Control. Lett., 2022

Fast identification and stabilization of unknown linear systems.

Dennis Gramlich, Christian Ebenbauer

CoRR, 2022

Neural network training under semidefinite constraints.

Patricia Pauli, Niklas Funcke, Dennis Gramlich, Mohamed Amine Msalmi, Frank Allgöwer

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Robust Differential Dynamic Programming.

Dennis Gramlich, Carsten W. Scherer, Christian Ebenbauer

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Linear systems with neural network nonlinearities: Improved stability analysis via acausal Zames-Falb multipliers.

Patricia Pauli, Dennis Gramlich, Julian Berberich, Frank Allgöwer

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Convex Synthesis of Accelerated Gradient Algorithms for Optimization and Saddle Point Problems using Lyapunov functions.

Dennis Gramlich, Christian Ebenbauer, Carsten W. Scherer

CoRR, 2020