Reduced- and Full-order Concurrent Learning Extended State Observers for Fully Adaptive Anti-disturbance Surge Speed Tracking Control of Autonomous Surface Vehicles

Cui, Kai; Li, Huijuan; Jing, Yang; Liu, Lu; Wang, Dan

doi:10.1109/itsc55140.2022.9921818

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2023

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Cited by 2 publications

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Data-driven Adaptive Finite-time Extended State Observer for Unmanned Surface Vehicle with Actuator Faults and Unknown Parameters

Zheng,

Wu,

et al. 2023

2023 China Automation Congress (CAC)

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Data-driven Adaptive Finite-time Extended State Observer for Unmanned Surface Vehicle with Actuator Faults and Unknown Parameters

Zheng,

Wu,

et al. 2023

2023 China Automation Congress (CAC)

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Application of combined SWOT and AHP (A’WOT): A case study for maritime autonomous surface ships

UĞURLU

2023

Turkish Journal of Maritime and Marine Sciences

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Increasing operational costs, the growth in ship tonnage, loss of lives, and the human factor in maritime accidents have driven the inevitable emergence of Maritime Autonomous Surface Ships (MASSs) in the world's seas. However, the universal establishment of laws and regulations for autonomous ships is still pending. Moreover, challenges arise due to the scarcity of personnel for immediate response to mitigate the impact of ship accidents and uncertainties linked to the absence of commercial autonomous voyages in international waters. Utilizing SWOT analysis as a strategic management approach enables the identification of strengths and weaknesses in a situation, awareness of related opportunities for leveraging those strengths, examination of threats, and formulation of measures against potential risks. This study encompasses a comprehensive evaluation of the positive and negative aspects of autonomous surface vehicles, encompassing their capabilities, advantages, challenges, and disadvantages. It employs SWOT analysis and the Analytic Hierarchy Process (AHP) method to facilitate strategic planning necessary for the widespread adoption of autonomous ships.

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Reduced- and Full-order Concurrent Learning Extended State Observers for Fully Adaptive Anti-disturbance Surge Speed Tracking Control of Autonomous Surface Vehicles

Cited by 2 publications

References 15 publications

Data-driven Adaptive Finite-time Extended State Observer for Unmanned Surface Vehicle with Actuator Faults and Unknown Parameters

Data-driven Adaptive Finite-time Extended State Observer for Unmanned Surface Vehicle with Actuator Faults and Unknown Parameters

Application of combined SWOT and AHP (A’WOT): A case study for maritime autonomous surface ships

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