Work

Sliding Flexible Prescribed Performance Boundary-Guided Reinforcement Learning Control for Input-Constrained Nonlinear Systems

Year: 2025

Type: article

Source: IEEE Transactions on Cybernetics

DOI: 10.1109/tcyb.2025.3610913

Authors: Yangang Yao, Ziyi Liu, Yu Kang, Yunbo Zhao, Jieqing Tan, Lichuan Gu, Qiang Li, Jinling Wang

Institutions: Anhui Agricultural University, University of Science and Technology of China, Hefei University of Technology

Language: English

Topic: Adaptive Control of Nonlinear Systems

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, Anhui Provincial Department of Education, State Key Laboratory of Tea Plant Biology and Utilization, Natural Science Foundation of Anhui Province

Awards: G3003946067, G4152676005, G4491891526, G4879607184, G4971268700, G5478964503, G5700475022, G6110658884, G7396899016, G7961741223

OpenAlex ID: W4414499430

FWCI: 7.055

Cites: 54

Cited by: 18

Related to: