Work

Reinforcement Learning-Based Event-Triggered Optimal Control of Power Systems With Control Input Saturation

Year: 2024

Type: article

Source: IEEE Transactions on Industrial Informatics

DOI: 10.1109/tii.2024.3485724

Authors: Zhou Gu, Ruiyan Cao, Engang Tian

Institutions: Nanjing Forestry University, University of Shanghai for Science and Technology

Language: English

Topic: Adaptive Dynamic Programming Control

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funder: National Natural Science Foundation of China

Awards: G2971388424, G5962167030

OpenAlex ID: W4404132131

FWCI: 2.35

Cites: 30

Cited by: 12

Related to: 10