- Language
-
Englisch
- Extent
-
Online-Ressource
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Bibliographic citation
-
In: Popp, M.; Mathis, W.: Order reduction of hierarchical interconnected dynamical systems. In: Advances in Radio Science 16 (2018), S. 89-97. DOI: https://doi.org/10.5194/ars-16-89-2018
- Creator
-
Popp, Michael
Mathis, Wolfgang
- Event
-
Veröffentlichung
- (where)
-
Hannover, Hannover
- (who)
-
Gottfried Wilhelm Leibniz Universität Hannover, Technische Informationsbibliothek (TIB)
- (when)
-
2018
- DOI
-
10.15488/4264
- URN
-
urn:nbn:de:101:1-2020072215221983764362
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
25.03.2025, 1:44 PM CET
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
- Gottfried Wilhelm Leibniz Universität Hannover, Technische Informationsbibliothek (TIB)
Time of origin
- 2018
Other Objects (12)
Hierarchical distributed model predictive control of interconnected microgrids
Monotone dynamical systems, graphs, and stability of large scale interconnected systems
Safe Reinforcement Learning Methods for Complex Dynamical Systems Based on Model Order Reduction Techniques
Discovering multiscale dynamical features with hierarchical Echo State Networks
Order and chaos in dynamical astronomy
Bayesian hierarchical models: convexity, sparsity and model reduction
Algorithms for model reduction of large dynamical systems
Dynamical topological order parameters far from equilibrium
Dynamical characterization of Markov processes with varying order
Feasibility reduction approach for hierarchical decision making with multiple objectives
A probabilistic analysis of hierarchical first-order reaction networks
Accessibility of Bilinear Interconnected Systems
Hierarchical distributed model predictive control of interconnected microgrids
Monotone dynamical systems, graphs, and stability of large scale interconnected systems
Safe Reinforcement Learning Methods for Complex Dynamical Systems Based on Model Order Reduction Techniques
Discovering multiscale dynamical features with hierarchical Echo State Networks
Order and chaos in dynamical astronomy
Bayesian hierarchical models: convexity, sparsity and model reduction
Algorithms for model reduction of large dynamical systems
Dynamical topological order parameters far from equilibrium
Dynamical characterization of Markov processes with varying order
Feasibility reduction approach for hierarchical decision making with multiple objectives
A probabilistic analysis of hierarchical first-order reaction networks
Accessibility of Bilinear Interconnected Systems
Hierarchical distributed model predictive control of interconnected microgrids
Monotone dynamical systems, graphs, and stability of large scale interconnected systems
Safe Reinforcement Learning Methods for Complex Dynamical Systems Based on Model Order Reduction Techniques
Discovering multiscale dynamical features with hierarchical Echo State Networks
Order and chaos in dynamical astronomy
Bayesian hierarchical models: convexity, sparsity and model reduction
Algorithms for model reduction of large dynamical systems
Dynamical topological order parameters far from equilibrium
Dynamical characterization of Markov processes with varying order
Feasibility reduction approach for hierarchical decision making with multiple objectives
A probabilistic analysis of hierarchical first-order reaction networks