Work

Reinforcement Learning for Dynamic Event-Driven Control of Multi-Machine Power Systems

Year: 2025

Type: article

Source: IEEE Transactions on Circuits & Systems II Express Briefs

DOI: 10.1109/tcsii.2025.3600432

Authors: Xiong Yang, Ding Wang

Institutions: Tianjin University, Beijing University of Technology

Language: English

Topic: Adaptive Dynamic Programming Control

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, Beijing Municipal Natural Science Foundation

Awards: G2154803626, G5415349219, G873356039

OpenAlex ID: W4413318802

FWCI: 1.489

Cites: 21

Cited by: 3

Related to: 10