- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
Order reduction of hierarchical interconnected dynamical systems ; volume:16 ; year:2018 ; pages:89-97
Advances in radio science ; 16 (2018), 89-97
- Creator
-
Popp, Michael
Mathis, Wolfgang
- DOI
-
10.5194/ars-16-89-2018
- URN
-
urn:nbn:de:101:1-2018090604463462494458
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:39 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Popp, Michael
- Mathis, Wolfgang
Other Objects (12)
Order reduction of hierarchical interconnected dynamical systems
Model Reduction for Second‐Order Dynamical Systems Revisited
Hierarchical distributed model predictive control of interconnected microgrids
Monotone dynamical systems, graphs, and stability of large scale interconnected systems
Hierarchical under frequency load shedding scheme for inter-connected power systems
Data-driven nonlinear parametric model order reduction framework using deep hierarchical variational autoencoder
Fe 3 O 4 N‐Doped Interconnected Hierarchical Porous Carbon and Its 3D Integrated Electrode for Oxygen Reduction in Acidic Media
Order preserving hierarchical agglomerative clustering
Wrinkled hierarchical porous carbon spheres with interconnected multi-cavity for ultrahigh capacitive deionization
Safe Reinforcement Learning Methods for Complex Dynamical Systems Based on Model Order Reduction Techniques
Hierarchical Porous Carbon with Interconnected Ordered Pores from Biowaste for High-Performance Supercapacitor Electrodes
Discovering multiscale dynamical features with hierarchical Echo State Networks
Order reduction of hierarchical interconnected dynamical systems
Model Reduction for Second‐Order Dynamical Systems Revisited
Hierarchical distributed model predictive control of interconnected microgrids
Monotone dynamical systems, graphs, and stability of large scale interconnected systems
Hierarchical under frequency load shedding scheme for inter-connected power systems
Data-driven nonlinear parametric model order reduction framework using deep hierarchical variational autoencoder
Fe 3 O 4 N‐Doped Interconnected Hierarchical Porous Carbon and Its 3D Integrated Electrode for Oxygen Reduction in Acidic Media
Order preserving hierarchical agglomerative clustering
Wrinkled hierarchical porous carbon spheres with interconnected multi-cavity for ultrahigh capacitive deionization
Safe Reinforcement Learning Methods for Complex Dynamical Systems Based on Model Order Reduction Techniques
Hierarchical Porous Carbon with Interconnected Ordered Pores from Biowaste for High-Performance Supercapacitor Electrodes
Discovering multiscale dynamical features with hierarchical Echo State Networks
Order reduction of hierarchical interconnected dynamical systems
Model Reduction for Second‐Order Dynamical Systems Revisited
Hierarchical distributed model predictive control of interconnected microgrids
Monotone dynamical systems, graphs, and stability of large scale interconnected systems
Hierarchical under frequency load shedding scheme for inter-connected power systems
Data-driven nonlinear parametric model order reduction framework using deep hierarchical variational autoencoder
Fe 3 O 4 N‐Doped Interconnected Hierarchical Porous Carbon and Its 3D Integrated Electrode for Oxygen Reduction in Acidic Media
Order preserving hierarchical agglomerative clustering
Wrinkled hierarchical porous carbon spheres with interconnected multi-cavity for ultrahigh capacitive deionization
Safe Reinforcement Learning Methods for Complex Dynamical Systems Based on Model Order Reduction Techniques
Hierarchical Porous Carbon with Interconnected Ordered Pores from Biowaste for High-Performance Supercapacitor Electrodes