Koopman operator dynamical models: Learning, analysis and control

Author:

Bevanda Petar,Sosnowski StefanORCID,Hirche Sandra

Funder

European Commission

Horizon 2020

Horizon 2020 Framework Programme

Publisher

Elsevier BV

Subject

Control and Systems Engineering,Software

Reference117 articles.

1. Forward completeness, unboundedness observability, and their lyapunov characterizations;Angeli;Systems and Control Letters,1999

2. A data-driven Koopman model predictive control framework for nonlinear partial differential equations;Arbabi,2018

3. Ergodic theory, dynamic mode decomposition, and computation of spectral properties of the Koopman operator;Arbabi;SIAM Journal on Applied Dynamical Systems,2017

4. Stable Gaussian process based tracking control of Euler-Lagrange systems;Beckers;Automatica,2019

5. Safe learning of regions of attraction for uncertain, nonlinear systems with Gaussian processes;Berkenkamp,2016

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