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Found 5 papers, 2 papers with code
Vehicle-to-Vehicle Charging: Model, Complexity, and Heuristics
The rapid adoption of Electric Vehicles (EVs) poses challenges for electricity grids to accommodate or mitigate peak demand.
Quantifying and combining uncertainty for improving the behavior of Digital Twin Systems
Uncertainty is an inherent property of any complex system, especially those that integrate physical parts or operate in real environments.
Model-Based Monitoring and State Estimation for Digital Twins: The Kalman Filter
A digital twin (DT) monitors states of the physical twin (PT) counterpart and provides a number of benefits such as advanced visualizations, fault detection capabilities, and reduced maintenance cost.
Constructing Neural Network-Based Models for Simulating Dynamical Systems
Dynamical systems see widespread use in natural sciences like physics, biology, chemistry, as well as engineering disciplines such as circuit analysis, computational fluid dynamics, and control.
Co-simulation: State of the art
It is essential to find new ways of enabling experts in different disciplines to collaborate more efficient in the development of ever more complex systems, under increasing market pressures.
Systems and Control 65Y10 I.6.1; I.6.7
