Finite-Time Parameter Self-Learning Disturbance Reje-ction Control of MSV:Methodology and ValidationOA
Finite-Time Parameter Self-Learning Disturbance Reje-ction Control of MSV:Methodology and Validation
Bo Peng;Nan Gu;Dan Wang;Zhouhua Peng
School of Marine Electrical Engineering,Dalian Maritime University,Dalian 116026||Institute for Ocean Engineering,Shenzhen lnternational Graduate School,Tsinghua University,Shenzhen 518055,ChinaSchool of Marine Electrical Engineering,Dalian Maritime University,Dalian 116026||School of Science,Computing and Engineering Technologies,Swinburne University of Technology,Melbourne VIC 3122,Australia||School of Marine Electrical Engineering,Dalian Maritime University,Dalian Key Laboratory of Swarm Control and Electrical Technology for Intelligent Ships,and State Key Laboratory of Maritime Technology and Safety,Dalian 116026,ChinaSchool of Marine Electrical Engineering,Dalian Maritime University,Dalian Key Laboratory of Swarm Control and Electrical Technology for Intelligent Ships,and State Key Laboratory of Maritime Technology and Safety,Dalian 116026,ChinaSchool of Marine Electrical Engineering,Dalian Maritime University,Dalian Key Laboratory of Swarm Control and Electrical Technology for Intelligent Ships,and State Key Laboratory of Maritime Technology and Safety,Dalian 116026,China
《自动化学报（英文版）》 2026 (8)
1988-1990,3
This work was supported by the National Nat-ural Science Foundation of China(52501374,52471372,U25A20458),the Liaoning Revitalization Leading Talents Program(XLYC2402054),the Key Basic Research of Dalian(2023JJ11CG008),the Doctoral Scientific Research Foundation of Liaoning Province(2024-BS-012),the Open Project of State Key Laboratory of Maritime Technology and Safety(SKLMTS-DMU-2024-05),and the Fundamental Research Funds for the Central Universities(3132026101).
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