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Found 9 papers, 0 papers with code
SafEDMD: A certified learning architecture tailored to data-driven control of nonlinear dynamical systems
The Koopman operator serves as the theoretical backbone for machine learning of dynamical control systems, where the operator is heuristically approximated by extended dynamic mode decomposition (EDMD).
Koopman-based feedback design with stability guarantees
We present a method to design a state-feedback controller ensuring exponential stability for nonlinear systems using only measurement data.
Partial observations, coarse graining and equivariance in Koopman operator theory for large-scale dynamical systems
The Koopman operator has become an essential tool for data-driven analysis, prediction and control of complex systems, the main reason being the enormous potential of identifying linear function space representations of nonlinear dynamics from measurements.
Energy-optimal control of adaptive structures
Adaptive structures are equipped with sensors and actuators to actively counteract external loads such as wind.
Structured Optimization-Based Model Order Reduction for Parametric Systems
We develop an optimization-based algorithm for parametric model order reduction (PMOR) of linear time-invariant dynamical systems.
State and parameter estimation for retinal laser treatment
Adequate therapeutic retinal laser irradiation needs to be adapted to the local absorption.
Parameter estimation and model reduction for retinal laser treatment
Laser photocoagulation is one of the most frequently used treatment approaches for retinal diseases such as diabetic retinopathy and macular edema.
Model predictive control for retinal laser treatment at 1 kHz
Laser photocoagulation is a technique applied in the treatment of retinal diseases.
State and parameter estimation for model-based retinal laser treatment
We find that, regarding convergence speed, the moving horizon estimation slightly outperforms the extended Kalman filter on measurement data in terms of parameter and state estimation, however, on simulated data the results are very similar.
