Enhancing Robust Adaptive Dynamic Positioning of Full-Actuated Surface Vessels: Reinforcement Learning Approach for Unknown Hydrodynamics DOI Creative Commons
Jiqiang Li, Wenzhi Huang, Chenfeng Huang

и другие.

Journal of Marine Science and Engineering, Год журнала: 2025, Номер 13(5), С. 993 - 993

Опубликована: Май 21, 2025

In this article, a robust adaptive dynamic position-control problem is addressed for full-actuated surface vessels under coupled uncertainties from unmodeled hydrodynamic effects and time-varying external disturbances. To obtain high-performance position controller, reinforcement learning (RL) weights law involving actor critic networks designed without knowledge of the model dynamics disturbance parameters. This can enhance robustness closed-loop control system. Furthermore, integrated to diminish design complexity resulting derivative kinematics, while ensuring semi-global uniformly ultimately bounded (SGUUB) stability through Lyapunov-based synthesis. Simulations are carried out evaluate superiority feasibility proposed algorithm.

Язык: Английский

Does the ESG disclosure quality affect financial performance: Empirical evidence from Chinese energy-listed companies DOI
Meixia Wang, Liu Li, Tianshou Liang

и другие.

Finance research letters, Год журнала: 2025, Номер unknown, С. 107118 - 107118

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

3
Digital transformation and the choice of management control modes in enterprise groups DOI Creative Commons
J. Li,

Xianzhi Zhang

PLoS ONE, Год журнала: 2025, Номер 20(4), С. e0320328 - e0320328

Опубликована: Апрель 22, 2025

Digital transformation has a significant impact on the choice of management control modes within enterprise groups. This study uses data from publicly listed companies in China 2010 to 2022 empirically examine effect digital It further explores mechanism and moderating effects influencing selection modes. The findings indicate that, under transformation, groups are more inclined adopt decentralized analysis suggests that can mitigate principal-agent problems between parent subsidiary by improving internal quality, thus promoting mode. reveal facilitative choosing mode is pronounced state-owned those operating environments with higher uncertainty. Moreover, as level or corporate governance improves, likely extends measurement indicators for across four dimensions: personnel authority, operational investment financial constructs research framework practical China’s strategy.

Язык: Английский

Процитировано

0
Enhancing Robust Adaptive Dynamic Positioning of Full-Actuated Surface Vessels: Reinforcement Learning Approach for Unknown Hydrodynamics DOI Creative Commons
Jiqiang Li, Wenzhi Huang, Chenfeng Huang

и другие.

Journal of Marine Science and Engineering, Год журнала: 2025, Номер 13(5), С. 993 - 993

Опубликована: Май 21, 2025

In this article, a robust adaptive dynamic position-control problem is addressed for full-actuated surface vessels under coupled uncertainties from unmodeled hydrodynamic effects and time-varying external disturbances. To obtain high-performance position controller, reinforcement learning (RL) weights law involving actor critic networks designed without knowledge of the model dynamics disturbance parameters. This can enhance robustness closed-loop control system. Furthermore, integrated to diminish design complexity resulting derivative kinematics, while ensuring semi-global uniformly ultimately bounded (SGUUB) stability through Lyapunov-based synthesis. Simulations are carried out evaluate superiority feasibility proposed algorithm.

Язык: Английский

Процитировано

0