The MPC-based STADP (MSTADP) algorithm employs neural networks (NNs) to construct three key modules: the model module, the critic module, and the action module. These modules enable the identification ...

A new switching control algorithm based on state trajectory approximation is proposed to regulate the output voltage of a representative second-order DC-DC converter - the boost converter. The essence ...

Modern Instrumentation Volume 2, Issue 1 (January 2013) ISSN Print: 2165-9257 ISSN Online: 2165-9273 Citations ...

Once refined, the new algorithm could potentially be applied to a number of applications, including internet data, airline scheduling and improving the efficiencies of markets, the researchers said.

A team of researchers led by Rasmus Kinn of the Swiss Federal Institute of Technology in Zurich has created a near-perfect algorithm to calculate the maximum transport flows at the lowest cost in ...

Almost-Linear Time Algorithms for Incremental Graphs: Cycle Detection, SCCs, s-t Shortest Path, and Minimum-Cost Flow. Proceedings of the 56th Annual ACM Symposium on Theory of Computing, 2024 DOI ...

In brief Computer scientists at ETH Zurich have written a network flow algorithm that computes almost as fast as is mathematically possible. This algorithm computes the maximum traffic flow with ...

June 5, 2024 — In a new paper in Science Advances on May 29, researchers at JPMorgan Chase, the U.S. Department of Energy’s (DOE) Argonne National Laboratory and Quantinuum have demonstrated clear ...

News Release 13-Mar-2024 AI for astrophysics: Algorithms help chart the origins of heavy elements Machine learning predictions successfully model atomic masses of nuclide chart Peer-Reviewed ...