Analytical large-signal modeling of inverter-based microgrids with koopman operator theory for autonomous control
The microgrid (MG) plays a crucial role in the energy transition, but its nonlinearity presents
a significant challenge for large-signal power systems studies in the electromagnetic …
a significant challenge for large-signal power systems studies in the electromagnetic …
Deep Koopman-operator-based model predictive control for free-floating space robots with disturbance observer
R Mao, T Meng, K Wang, J Lei, W Wang - Aerospace Science and …, 2024 - Elsevier
This paper investigates the optimal tracking control problem of free-floating space robots in
the presence of non-ideal factors, such as model uncertainties and external disturbances. To …
the presence of non-ideal factors, such as model uncertainties and external disturbances. To …
An Interpretable Data-Driven Learning Approach for Nonlinear Aircraft Systems with Noisy Interference
R Cao, K Lu, Y Liu - IEEE Transactions on Aerospace and …, 2024 - ieeexplore.ieee.org
This paper discusses a learning algorithm for nonlinear aircraft systems, which targets the
weaknesses of datadriven algorithms, mainly poor generalization ability and limited …
weaknesses of datadriven algorithms, mainly poor generalization ability and limited …
Model prediction of spatial non-cooperative target measurement information based on the Koopman operator
X Zhang, H Zhou, B Hou, J Wang, J Peng, X Zhou - 2024 - researchsquare.com
This paper proposes a prediction method for spatial non-cooperative measurement
information based on the Koopman operator, aiming at the problem of incomplete or missing …
information based on the Koopman operator, aiming at the problem of incomplete or missing …