Work

Reinforcement Learning-Based Boundary-Optimized Control of Flexible Manipulators Under Jointly Connected Switching Topologies

Year: 2025

Type: article

Source: IEEE Transactions on Neural Networks and Learning Systems

DOI: 10.1109/tnnls.2025.3609134

Authors: Xiangqian Yao, Lin Li, Yu Liu

Institutions: South China University of Technology, Guangdong Power Grid Company (China)

Language: English

Topic: Dynamics and Control of Mechanical Systems

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, China Postdoctoral Science Foundation

Awards: G2462253553, G3204905979, G4482583160, G5572334793

OpenAlex ID: W4414491356

FWCI: 1.568

Cites: 51

Cited by: 4

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