Related references
Note: Only part of the references are listed.
Article
Mathematics, Interdisciplinary Applications
R. Sriraman et al.
Summary: In this study, the effectiveness of a robust sampled-data H-infinity load frequency control (LFC) scheme for power systems with randomly occurring time-varying delays is investigated. The sampled-data LFC model is reformulated as a continuous time-delay representation using the input-delay technique. Randomly occurring time-varying delays in the sampled-data LFC model are described using Bernoulli-distributed white noise sequences. The analysis is based on linear matrix inequalities (LMI) and provides less conservative conditions for mean-square asymptotic stability of the considered power system.
Article
Computer Science, Information Systems
B. Visakamoorthi et al.
Summary: This paper examines the stabilization problem and H-infinity performance analysis for uncertain hydraulic turbine governing systems with stochastic actuator faults and time-varying delays via sampled-data control. The authors model the systems as Takagi-Sugeno fuzzy systems with time-varying delay and bounded external disturbance and propose a novel delay-dependent looped Lyapunov-Krasovskii functional. They also suggest a membership function dependent H-infinity performance index to diminish the impact of disturbances. The new delay-dependent stability conditions for the closed-loop system are attained using robust control and the proposed functional.
Article
Transportation
Ran Yan et al.
Summary: This study reviewed ship selection methods and developed a comprehensive model for predicting ship risk, which was validated and compared to existing methods at the Port of Hong Kong, providing insights for MoUs.
MARITIME POLICY & MANAGEMENT
(2022)
Article
Computer Science, Interdisciplinary Applications
Ran Yan et al.
Summary: Port state control inspection is crucial for marine safety, and developing accurate prediction models for ship detention is challenging due to imbalanced inspection records dataset. The proposed balanced random forest (BRF) model shows promising results in identifying detained ships at the Hong Kong port, achieving an average improvement of 73.72% in ship identification efficiency compared to the current method.
JOURNAL OF COMPUTATIONAL SCIENCE
(2021)
Article
Mathematics, Applied
G. Rajchakit et al.
Summary: This paper investigates the Clifford-valued recurrent neural network models and their global exponential stability in the Lagrange sense. By dividing the original Clifford-valued RNN model into real-valued models, sufficient conditions for achieving global exponential stability are obtained using Lyapunov stability theory and analytical techniques. Two examples are provided to illustrate the results, along with a discussion on their implications.
ADVANCES IN DIFFERENCE EQUATIONS
(2021)
Article
Operations Research & Management Science
Ran Yan et al.
Summary: Port state control (PSC) inspection is crucial for maritime safety and environmental protection. Two innovative and high-efficient PSC inspection schemes have been proposed to address the challenge of deciding which deficiency items to inspect and in what sequence, showing significant improvement in efficiency compared to the currently used scheme. The second scheme performs better when inspecting ships with at least five deficiency items and limited inspection resources.
ASIA-PACIFIC JOURNAL OF OPERATIONAL RESEARCH
(2021)
Article
Economics
Ran Yan et al.
Summary: Maritime transportation is crucial for global supply chain, and port state control plays a key role in ensuring maritime safety and environmental protection. This study develops an advanced XGBoost model to predict ship deficiencies and proposes a PSCO scheduling model to optimize inspection resources allocation. Numerical experiments demonstrate that the proposed model outperforms the current inspection scheme and maintains stable performance compared to sensitivity analysis.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2021)
Article
Transportation
Mohd Tarmizi Osman et al.
Summary: The study analyzed PSC inspection data in Malaysia to determine inspection patterns and relationships, finding associations between inspection place, flag state, deficiency numbers, and inspection results. Utilizing association rule learning algorithm, it was discovered that detention results were significantly related to the quantity of deficiencies raised for ships; furthermore, inspection patterns at Malaysian ports typically coincided with a low number of deficiencies raised.
MARITIME POLICY & MANAGEMENT
(2021)
Article
Transportation
Wu-Hsun Chung et al.
MARITIME POLICY & MANAGEMENT
(2020)
Article
Engineering, Marine
Ming-Cheng Tsou
JOURNAL OF MARINE ENGINEERING AND TECHNOLOGY
(2019)
Article
Economics
Shuaian Wang et al.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2019)
Article
Economics
Zhisen Yang et al.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2018)