Manuel Schaller

Orcid: 0000-0002-8081-5108

According to our database1, Manuel Schaller authored at least 32 papers between 2019 and 2025.

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

Timeline

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Bibliography

2025
Port-Hamiltonian descriptor systems are relative generically controllable and stabilizable.
Math. Control. Signals Syst., March, 2025

Koopman-Based Feedback Design With Stability Guarantees.
IEEE Trans. Autom. Control., January, 2025

Data-Driven MPC With Stability Guarantees Using Extended Dynamic Mode Decomposition.
IEEE Trans. Autom. Control., January, 2025

Spatial exponential decay of perturbations in optimal control of general evolution equations.
CoRR, January, 2025

Structured Optimization-Based Model Order Reduction for Parametric Systems.
SIAM J. Sci. Comput., 2025

Goal-oriented time adaptivity for port-Hamiltonian systems.
J. Comput. Appl. Math., 2025

2024
Energy-optimal control of adaptive structures.
Autom., January, 2024

Optimal control of port-Hamiltonian systems: Energy, entropy, and exergy.
Syst. Control. Lett., 2024

Sampled-data funnel control and its use for safe continual learning.
Syst. Control. Lett., 2024

Kernel-based Koopman approximants for control: Flexible sampling, error analysis, and stability.
CoRR, 2024

Koopman-based control of nonlinear systems with closed-loop guarantees.
CoRR, 2024

Existence of solutions to port-Hamiltonian systems: initial value problems and optimal control.
CoRR, 2024

Modularized data-driven approximation of the Koopman operator and generator.
CoRR, 2024

L<sup>∞</sup>-error bounds for approximations of the Koopman operator by kernel extended dynamic mode decomposition.
CoRR, 2024

SafEDMD: A certified learning architecture tailored to data-driven control of nonlinear dynamical systems.
CoRR, 2024

Jet space extensions of infinite-dimensional Hamiltonian systems.
CoRR, 2024

Data-driven MPC with terminal conditions in the Koopman framework.
Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

2023
State and Parameter Estimation for Retinal Laser Treatment.
IEEE Trans. Control. Syst. Technol., May, 2023

Finite-Data Error Bounds for Koopman-Based Prediction and Control.
J. Nonlinear Sci., 2023

Practical asymptotic stability of data-driven model predictive control using extended DMD.
CoRR, 2023

Partial observations, coarse graining and equivariance in Koopman operator theory for large-scale dynamical systems.
CoRR, 2023

Reprojection Methods for Koopman-Based Modelling and Prediction.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Optimal Control of Port-Hamiltonian Descriptor Systems with Minimal Energy Supply.
SIAM J. Control. Optim., August, 2022

Efficient Model Predictive Control for Parabolic PDEs with Goal Oriented Error Estimation.
SIAM J. Sci. Comput., 2022

Manifold turnpikes, trims, and symmetries.
Math. Control. Signals Syst., 2022

Parameter estimation and model reduction for retinal laser treatment.
CoRR, 2022

Model predictive control for retinal laser treatment at 1 kHz.
Autom., 2022

2021
Control of port-Hamiltonian systems with minimal energy supply.
Eur. J. Control, 2021

State and parameter estimation for model-based retinal laser treatment.
CoRR, 2021

Inferring the adjoint turnpike property from the primal turnpike property.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
Efficient MPC for parabolic PDEs with goal oriented error estimation.
CoRR, 2020

2019
Sensitivity Analysis of Optimal Control for a Class of Parabolic PDEs Motivated by Model Predictive Control.
SIAM J. Control. Optim., 2019


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