Cheng Siong Chin

Next-Generation Power Systems

NATARAJAN BALASUBRAMANIAN MUTHU SELVAN, V. Thiyagarajan, Cheng Siong Chin

Beyond the Blind Spot: A Transparency-First Approach to AI Sound-Vision Radar

Cheng Siong Chin, Jianhua Zhang, Mohan Venkatesh Kumar

Multimodal situational awareness dashboards that combine sound and vision are increasingly deployed in security, facility, and safety monitoring, yet relatively little attention has been given to how these systems communicate the status of their underlying sensor data. In some prototype and demonstration …

Evaluation of advanced optimization algorithms for integrating hybrid PV/wind systems into microgrids and optimizing power flow in grid-to-vehicle and vehicle-to-grid systems

K. Latha Shenoy, M. Venkateshkumar, Cheng Siong Chin

The combination of photovoltaic (PV) and wind energy systems to build microgrids would allow us to create resilient, low-carbon energy systems through grid-to-vehicle (GV) integration, but renewable intermittency, management of batteries, and power quality standards (like total harmonic distortion [THD]) are all …

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Predefined-Time Neural Adaptive Control for Distributed Formation Control of Nonlinear Multiagent Systems with Full-State Constraints

Yuehua Fang, Xuan Yu, Jianhua Zhang, Yichen Jiang et autres

This paper investigates the distributed formation control problem for nonlinear multiagent systems subject to full-state constraints and proposes a predefined-time neural adaptive control scheme based on a nonlinear mapping technique. To handle the time-varying asymmetric constraints on system states, a smooth and …

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Predefined-Time Synchronization of Chaotic Systems of Permanent-Magnet Synchronous Generators via Neural Network Control

Na Liu, Xuan Yu, Jianhua Zhang, Wang Xinxin et autres

Chaotic behavior in power systems that are integrated with permanent-magnet synchronous generators (PMSGs) poses a significant threat to stability and security. Existing control methods often suffer from slow convergence, reliance on precise system models, or the inability to guarantee convergence within a …

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Encoder-decoder based active learning approach for corrosion segmentation in industrial and lab environments

Zhen Qi Chee, Cheng Siong Chin, Hao Chen, Zi Jie Choong et autres

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Predefined-Time Trajectory Tracking of Mechanical Systems with Full-State Constraints via Adaptive Neural Network Control

Na Liu, Xuan Yu, Jianhua Zhang, Yichen Jiang et autres

An adaptive control strategy is developed and analyzed for trajectory tracking of mechanical systems subject to simultaneous model uncertainties and full-state constraints. To overcome the significant hurdle of guaranteeing both transient and steady-state performance within a user-defined time, a novel predefined-time adaptive …

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Response-Time-Based Network Slicing in Smart Grid Application for DER Service Optimization

K. J. Dinesh Sathya, M.Venkateshkumar Venkateshkumar, Cheng Siong Chin

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Explainable AI Framework for Salt Spray Chamber–Based Corrosion Assessment

Zhen Qi Chee, Cheng Siong Chin, Zi Jie Choong, Jun Jie Chong et autres

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Imagining the Rare: Diffusion-Augmented and Few-Shot Learning Approaches for Severely Imbalanced Mushroom Species Classification

Varun Khurana, Cheng Siong Chin, Huizhi Liang, Boon Siong Wee

Fine-grained species recognition faces critical challenges from extreme class imbalance, where rare species essential for biodiversity monitoring often have fewer than 10 training samples. We present a comprehensive study comparing two complementary approaches for automated mushroom classification: diffusion-based synthetic augmentation with multi-stage …

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Predefined-time sliding mode control for position and attitude of quadrotor with variable exponent coefficients

Lifeng Hou, Jianhua Zhang, Zhanyang Yu, Xinxin Wang et autres

This paper presents a comprehensive study on predefined-time sliding mode control applied to quadrotor systems with variable exponent coefficients. The main goal is to achieve efficient control with predefined-time convergence to the desired target. Novel predefined-time sliding mode control and predefined-time neural …

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Advancing Sustainable Green Shipping: Advancing sustainable green shipping by carbon capture, utilization, and storage through simulation technologies.

Cheng Siong Chin, Caizhi Zhang

The shipping industry contributes significantly to air pollution, responsible for about 3% of global greenhouse gas emissions. With the growing demand for shipping, concerns about rising emissions persist. To combat this, the International Maritime Organization has introduced regulations to encourage sustainable shipping …

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