Publications
Professor Hongnian Yu’s publication portfolio reflects a wide range of interdisciplinary research across artificial intelligence, robotics, digital health, wearable technologies, intelligent control, cyber-physical systems, biomedical engineering, and sustainable technologies.
These publications demonstrate strong international collaboration and a commitment to translating advanced engineering and computing research into practical, high-impact applications.
Selected Publications
Multifunctional ultra-low voltage sweat-activated battery using piezo-ionic hydrogel
Type: Journal Article
Year: 2026
Authors: Beg, M., Sam, V., Kanathedath, J., Markapudi, P. R., Alcock, K. M., Goh, K., Yu, H., & Manjakkal, L.
Journal: Nano Energy, 149, 111729
DOI: 10.1016/j.nanoen.2026.111729
This study presents a multifunctional ultra-low voltage sweat-activated fabric battery designed for emerging wearable technology applications, addressing challenges in low-voltage energy harvesting and wearable power systems.
Dual-channel Event-triggered Sliding-mode Heading Control for Unmanned Surface Vehicles
Type: Journal Article
Year: 2026
Authors: Zhao, H., Chen, Y., Xu, D., & Yu, H.
Journal: IEEE Transactions on Vehicular Technology
DOI: 10.1109/tvt.2026.3654060
This paper introduces a data-driven dual-channel event-triggered sliding-mode heading control method for unmanned surface vehicles operating with uncertain dynamic models.
Transformer autoencoder framework for estimating core temperature of lithium-ion battery from pulse discharge dynamics
Type: Journal Article
Year: 2025
Authors: Beg, M., Alcock, K. M., Sam, V., Rakshit, S., Paul, S., Yu, H., & Goh, K.
Journal: Applied Thermal Engineering, 288(Part 1), 129552
DOI: 10.1016/j.applthermaleng.2025.129552
This research proposes a non-invasive transformer-based autoencoder model for estimating the internal temperature of lithium-ion batteries using pulse discharge data.
A Hermite Block-pulse hybrid method for nonlinear fractional optimal control problems
Type: Journal Article
Year: 2025
Authors: Sun, Y., Zhao, Y., Yu, H., Chen, R., & Zhao, H.
Journal: Journal of Applied Mathematics and Computing, 72(1), 24
DOI: 10.1007/s12190-025-02691-x
This paper presents a computational framework for solving nonlinear fractional optimal control problems by combining Hermite functions and block-pulse methods.
A Domain Adaptive IoT Intrusion Detection Algorithm Based on AEC–GAT Feature Extraction and Joint Domain Adversary
Type: Journal Article
Year: 2025
Authors: Wang, Q., Fan, M., Wu, Z., Yu, H., Cheng, Y., & Zhang, B.
Journal: IEEE Transactions on Industrial Informatics, 22(3), 1850–1860
DOI: 10.1109/tii.2025.3631964
This article proposes a domain-adaptive intrusion detection algorithm for heterogeneous IoT environments, addressing data imbalance and limited labelled samples.
DC-PFL: A dynamic clustering-based personalized federated learning method for human activity recognition
Type: Journal Article
Year: 2025
Authors: Wen, X., Wang, Y., Yuan, M., Wang, A., Zheng, G., Yu, H., & Meng, L.
Journal: Engineering Science and Technology, an International Journal, 72, 102230
DOI: 10.1016/j.jestch.2025.102230
This study presents a personalized federated learning framework using dynamic clustering to improve human activity recognition while preserving data privacy.
Dynamic Event-Triggered Bipartite Formation for MIMO Multiagent Systems With Quantized Data
Type: Journal Article
Year: 2025
Authors: Zhao, H., Shan, J., Xu, D., & Yu, H.
Journal: IEEE Transactions on Cybernetics, 56(2), 619–630
DOI: 10.1109/tcyb.2025.3614090
This article explores distributed data-driven bipartite formation control for nonlinear multi-input multi-output multiagent systems using quantized data.
Experience-based integral reinforcement learning consensus for unknown multi-agent systems
Type: Journal Article
Year: 2025
Authors: Ma, L., Zhao, H., Chen, Y., Gao, Y., & Yu, H.
Journal: Scientific Reports, 15(1), 32962
DOI: 10.1038/s41598-025-15573-w
This publication investigates optimal consensus control for unknown nonlinear multi-agent systems using online integral reinforcement learning and critic-actor neural networks.
Resource-efficient sliding mode control for unmanned aerial vehicles with multiple faults and hybrid cyber attacks
Type: Journal Article
Year: 2025
Authors: Wang, J., Zhao, H., Gao, J., & Yu, H.
Journal: Advances in Mechanical Engineering, 17(9)
DOI: 10.1177/16878132251376247
This paper examines robust sliding mode control for quadrotor UAVs under actuator faults, partial failures, and hybrid cyber-attacks, with emphasis on resource-efficient implementation.
State-Space Modelling of Schottky Diode Rectifiers Including Parasitic and Coupling Effects up to the Terahertz Band
Type: Journal Article
Year: 2025
Authors: Odiamenhi, M. A., Basherlou, H. J., See, C. H., Parchin, N. O., Goh, K., & Yu, H.
Journal: Electronics, 14(18), 3718
DOI: 10.3390/electronics14183718
This study presents a nonlinear state-space model for Schottky diode rectifiers, incorporating junction dynamics, parasitic effects, and electromagnetic coupling up to the terahertz band.
Quantized‐Based Data‐Driven Iterative Learning Heading Control for Unmanned Surface Vehicles With Data Dropouts
Type: Journal Article
Year: 2025
Authors: Chen, C., Zhao, H., Xu, D., & Yu, H.
Journal: International Journal of Robust and Nonlinear Control, 36(2), 683–693
DOI: 10.1002/rnc.70101
This paper studies model-free adaptive iterative learning heading control for unmanned surface vehicles with quantized data and data dropouts.
Foot Pressure-Based Abnormal Gait Recognition With Multi-Scale Cross-Attention Fusion
Type: Journal Article
Year: 2025
Authors: Yuan, M., Wang, Y., Zhou, X., Gui, M., Wang, A., Wang, C., Li, G., Yu, H., Meng, L., & Hou, Z.
Journal: IEEE Transactions on Neural Systems and Rehabilitation Engineering, 33, 3146–3159
DOI: 10.1109/tnsre.2025.3597639
This research proposes a multi-scale cross-attention fusion framework for abnormal gait recognition using foot pressure data, with applications in healthcare monitoring and diagnosis.
Enhancing human activity recognition with TB-ConvAtt: A multi-dimensional attention framework
Type: Journal Article
Year: 2025
Authors: Yang, H., Wang, Y., Hu, R., Geng, Y., Wang, A., Zhou, X., Yu, H., & Zhao, Q.
Journal: Biomedical Signal Processing and Control, 110(Part A), 108314
DOI: 10.1016/j.bspc.2025.108314
This article presents a multi-dimensional attention framework for improving human activity recognition using wearable sensor data in healthcare settings.
Wide Linearity Range and Rapid‐Response Tactile Sensor Inspired by Parallel Structures
Type: Journal Article
Year: 2025
Authors: Gao, W., Yao, J., Yu, X., Ma, G., Wang, D., Yu, H., Han, Z., & Ren, L.
Journal: Advanced Science, 12(32), e06783
DOI: 10.1002/advs.202506783
This study reports a tactile sensor design inspired by parallel structures, improving both linear response range and response speed for real-time sensing applications.
Data-Driven Event-Triggered Fixed-Time Load Frequency Control for Multi-Area Power Systems With Input Delays
Type: Journal Article
Year: 2025
Authors: Chen, Y., Zhao, H., Ogura, M., Yu, H., & Peng, L.
Journal: IEEE Transactions on Circuits and Systems I: Regular Papers, 72(12), 8492–8504
DOI: 10.1109/tcsi.2025.3580122
This paper proposes a reinforcement learning-based event-triggered fixed-time load frequency control approach for multi-area power systems with input delays.
Data-Based Encryption Iterative Learning Heading Control for Unmanned Surface Vehicles
Type: Journal Article
Year: 2025
Authors: Chen, C., Zhao, H., Shan, J., & Yu, H.
Journal: IEEE Control Systems Letters, 9, 973–978
DOI: 10.1109/lcsys.2025.3578918
This letter investigates data-driven iterative learning heading control for unmanned surface vehicles with encryption and decoding mechanisms.
Composite Motion Control of Cable-Driven Continuum Robots: An Auxiliary-System Based Compensation Method
Type: Journal Article
Year: 2025
Authors: Zhang, K., Liu, Y., Huo, B., Wu, Z., & Yu, H.
Journal: IEEE Transactions on Industrial Electronics, 72(11)
DOI: 10.1109/tie.2025.3558067
This publication addresses high-performance motion control of cable-driven continuum robots under model uncertainties, actuator saturation, and measurement delays.
Advancing real-world applications: A scoping review on emerging wearable technologies for recognizing activities of daily living
Type: Journal Article
Year: 2025
Authors: Ahmed, M. E., Yu, H., Vassallo, M., & Koufaki, P.
Journal: Smart Health, 36, 100555
DOI: 10.1016/j.smhl.2025.100555
This scoping review examines emerging wearable technologies for recognizing activities of daily living, with focus on healthcare applications and real-world usability.
Nanocellulose Extraction from Biomass Waste: Unlocking Sustainable Pathways for Biomedical Applications
Type: Journal Article
Year: 2025
Authors: Ghamari, M., Suvish., Hwang See, C., Yu, H., Anitha, T., Balamurugan, V. T., Velusamy, S., Hughes, D., & Sundaram, S.
Journal: The Chemical Record, 25(5), e202400249
DOI: 10.1002/tcr.202400249
This article explores sustainable nanocellulose extraction from biomass waste and highlights its potential biomedical applications.
Dementia Friendly Buildings—Approach on Architectures
Type: Journal Article
Year: 2025
Authors: Ghamari, M., Suvish., Dehkordi, A. A., See, C. H., Sami, A., Yu, H., & Sundaram, S.
Journal: Buildings, 15(3), 385
DOI: 10.3390/buildings15030385
This paper examines architectural approaches and design principles for dementia-friendly buildings that better support people living with dementia.
Research Areas Represented in the Publications
🤖 Robotics and Control
Research on multi-agent systems, unmanned vehicles, continuum robots, intelligent control, and autonomous systems.
🧠 AI and Data-Driven Systems
Publications covering federated learning, reinforcement learning, intrusion detection, predictive modelling, and intelligent analytics.
📡 Health, Wearables and Sensing
Work focused on wearable technologies, abnormal gait recognition, tactile sensing, digital health, biomedical materials, and supportive environments.
Professor Yu’s publications highlight an interdisciplinary and internationally connected research agenda that links engineering, computing, healthcare, and sustainability for real-world impact.