Robust Adaptive Fuzzy-Free Fault-Tolerant Path Planning Control for a Semi-Submersible Platform Dynamic Positioning System With Actuator Constraints

Nguyen, Xuan-Phuong; Dang, Xuan-Kien; Do, Viet-Dung; Corchado, Juan Manuel; Truong, Huynh-Nhu

doi:10.1109/tits.2023.3297252

Cited by 3 publications

(2 citation statements)

References 43 publications

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“…FLS consists of four parts: fuzzy rule base, fuzzification, inference mechanism, and defuzzification. Like the NN, FLS has been used for approximating unknown dynamics of crafts [63][64][65] and parameter learning [66]. A scheme for a robust adaptive fuzzy fault-tolerant control for semi-submersible platform proposed in [65] is given as Figure 1.…”

Section: Fuzzy Adaptive Control Design Schemementioning

confidence: 99%

“…Furthermore, considering propulsion failure, jamming and interruption, Benetazzo et al [122] used a supervisor to isolate faults and proposed a discrete-time variable structure fault-tolerant DP controller by combining multi-frequency Kalman filtering and robust observer. In [65,123], possible parameter uncertainties, adaptive fault-tolerant controllers for infinite-time and finite-time scenarios were established. In [124], by utilizing the T-S fuzzy modeling approach to linearize the nonlinear DP model and combining event-triggered mechanisms, a fault-tolerant DP control scheme was presented by solving LMIs.…”

Section: Fault-tolerant Control Designmentioning

confidence: 99%

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Dynamic Positioning Control for Marine Crafts: A Survey and Recent Advances

Gao,

2024

JMSE

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This paper surveys the recent advances in dynamic positioning (DP) control for marine crafts. DP of marine crafts means that a craft can maintain a fixed position and heading, or move along a predetermined trajectory slowly without the anchoring system, using only its own thruster system to counteract ocean disturbances. The survey is by no means exhaustive but provides a survey of some of the major technological advancements in DP controller design over the years of research and development. Firstly, the model of marine crafts and some difficult problems in DP control are introduced including the impact of multiple source disturbance, unavailable velocity measurement information, resource conservation and performance optimization, destabilizing impact of faults and network security and compound multi-constraint restrictions. Then, the DP control schemes in recent years are summarized and classified in detail. Finally, some theoretical and technical problems are proposed, including online data-driven model-free control, man–machine combination intelligent control and composite hierarchical anti-disturbance control to guide future investigations.

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Section: Fuzzy Adaptive Control Design Schemementioning

confidence: 99%

Section: Fault-tolerant Control Designmentioning

confidence: 99%

Dynamic Positioning Control for Marine Crafts: A Survey and Recent Advances

Gao,

2024

JMSE

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An adaptive sliding mode controller using predictive scheme for dynamic positioning: Numerical and physical docking operation

Ye,

Wang,

Mashari

et al. 2025

Ocean Engineering

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A Transformer Network With Sparse Augmented Data Representation and Cross Entropy Loss for AIS-Based Vessel Trajectory Prediction

Nguyen,

Fablet

2024

IEEE Access

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Vessel trajectory prediction plays a pivotal role in numerous maritime applications and services. While the Automatic Identification System (AIS) offers a rich source of information to address this task, forecasting vessel trajectory using AIS data remains challenging, even for modern machine learning techniques, because of the inherent heterogeneous and multimodal nature of motion data. In this paper, we propose a novel approach to tackle these challenges. We introduce a discrete, high-dimensional representation of AIS data and a new loss function designed to explicitly address heterogeneity and multimodality. The proposed model-referred to as TrAISformer-is a modified transformer network that extracts long-term temporal patterns in AIS vessel trajectories in the proposed enriched space to forecast the positions of vessels several hours ahead. We report experimental results on real, publicly available AIS data. TrAISformer significantly outperforms state-of-the-art methods, with an average prediction performance below 10 nautical miles up to ∼10 hours.

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Robust Adaptive Fuzzy-Free Fault-Tolerant Path Planning Control for a Semi-Submersible Platform Dynamic Positioning System With Actuator Constraints

Cited by 3 publications

References 43 publications

Dynamic Positioning Control for Marine Crafts: A Survey and Recent Advances

Dynamic Positioning Control for Marine Crafts: A Survey and Recent Advances

An adaptive sliding mode controller using predictive scheme for dynamic positioning: Numerical and physical docking operation

A Transformer Network With Sparse Augmented Data Representation and Cross Entropy Loss for AIS-Based Vessel Trajectory Prediction

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