Dennis Gramlich

Orcid: 0000-0001-9188-9527

According to our database1, Dennis Gramlich authored at least 13 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Lipschitz constant estimation for general neural network architectures using control tools.
CoRR, 2024

On moment relaxations for linear state feedback controller synthesis with non-convex quadratic costs and constraints.
CoRR, 2024

State space representations of the Roesser type for convolutional layers.
CoRR, 2024

Synthesis of constrained robust feedback policies and model predictive control.
Proceedings of the European Control Conference, 2024

2023
A Structure Exploiting SDP Solver for Robust Controller Synthesis.
IEEE Control. Syst. Lett., 2023

Convolutional Neural Networks as 2-D systems.
CoRR, 2023

Lipschitz constant estimation for 1D convolutional neural networks.
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.
Syst. Control. Lett., 2022

Fast identification and stabilization of unknown linear systems.
CoRR, 2022

Neural network training under semidefinite constraints.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Robust Differential Dynamic Programming.
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.
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.
CoRR, 2020


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