A5068353564- Welding Techniques and Residual Stresses
- Additive Manufacturing Materials and Processes
- Advanced Welding Techniques Analysis
- Advanced Control Systems Optimization
- Traffic control and management
- Fault Detection and Control Systems
- Autonomous Vehicle Technology and Safety
- Vehicular Ad Hoc Networks (VANETs)
- Aluminum Alloy Microstructure Properties
- Vehicle emissions and performance
- Laser and Thermal Forming Techniques
- Additive Manufacturing and 3D Printing Technologies
- Stability and Control of Uncertain Systems
- Smart Grid Security and Resilience
- Distributed Control Multi-Agent Systems
- Biofuel production and bioconversion
- Mechanical Behavior of Composites
- Vehicle Dynamics and Control Systems
- Adaptive Control of Nonlinear Systems
- High-Temperature Coating Behaviors
- Non-Destructive Testing Techniques
- Transportation and Mobility Innovations
- Anomaly Detection Techniques and Applications
- Software Reliability and Analysis Research
- Soft Robotics and Applications
Beihang University
2021-2025
Hong Kong University of Science and Technology
2024-2025
University of Hong Kong
2024-2025
Fujian Agriculture and Forestry University
2019-2025
Nanjing University of Aeronautics and Astronautics
2015-2024
Guangdong Medical College
2022
University of Victoria
2016-2021
Craft Group (China)
2018
The Ohio State University
2018
Inspur (China)
2016
This paper studies the distributed dynamic event-triggered model predictive control (MPC) of vehicle platoon systems subject to denial-of-service (DoS) attacks and external disturbances. We develop a novel DoS-attack-aware mechanism for each determine whether MPC problem should be solved or not at sampling time instant. If is solved, constructed vehicular beacon information will transmitted its neighbouring vehicles through ad-hoc network (VANET). In condition, threshold adjusts adaptively...
Reducing vehicle exhaust pollution and energy consumption is of great significance for improving the sustainability social development. Currently, most energy-efficient regenerative recovery methods are from a control perspective, ignoring impact on overall traffic environment. An important reason that transportation system's large scale, complexity nature restrict its Hence, this letter proposes schemes sustainable intelligent system using Artificial societies, Computational experiments,...
The ongoing tide of spent lithium-ion batteries (LIBs) urgently calls for high-value output in efficient recycling. Recently, direct regeneration has emerged as a novel recycling strategy but fails to repair the irreversible morphology and structure damage highly degraded polycrystalline layered oxide materials. Here, this work carries out solid-state upcycling study severely cracked LiNi
This paper investigates the consensus problem for a group of two-wheeled mobile robots (2WMRs) using nonuniform sampling. The directed and switching communication topologies are considered. control protocols first-order/second-order system dynamics designed with bounded gains. <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Rotate&Run scheme </i> is proposed to update vehicles' states: 1) vehicle calculates its goal orientation input each...
This article studies integral-type event-triggered model predictive control (MPC) of continuous-time nonlinear systems. An mechanism is proposed by incorporating the integral errors between actual and predicted state sequences, leading to reduced average sampling frequency. Besides, a new improved robustness constraint introduced handle additive disturbance, rendering MPC problem with potentially enlarged initial feasible region. Furthermore, feasibility designed stability closed-loop system...
The Paris Agreement set global energy conservation and emission reduction standards in 2016, the ambitious goal of carbon neutrality must be achieved by 2050. However, conflicts between environmental protection, economic development social fairness constrain sustainable transportation systems. At same time, automotive industry believes that large-scale application autonomous driving technology is expected can provide a new solution to improve sustainability system. Meanwhile, vehicles...
This article proposes an event-triggered deep learning control strategy to achieve real-time trajectory tracking for quadrotors. In the training data collection phase, model predictive (ETMPC) method is applied quadrotor in simulation environment generate data. Then, a neural network (DNN) controller trained approximate optimal policy of ETMPC. To further save computing resources on-board processor, mechanism incorporated with DNN controller, and dual-mode approach employed it. Finally,...
This paper addresses the lateral and longitudinal control problem for vehicle platoons subject to multiple communication delays. The essential different delays in search-based routes of vehicular ad-hoc networks (VANET) are introduced platoon control. We first design an objective-based decoupled framework platoons. With Frenet coordinate system, a robust controller is established ensure each follower tracks desired path remain within platoon. For control, error dynamic vehicle-...
Open-terrain field vehicle (OTFV) fleets, including mining trucks, construction machinery, and agricultural often encounter significantly more intricate scenarios unique challenges than road vehicles. Enhancing the intelligence level of OTFV fleets can enhance their operational effectiveness improve energy efficiency. This perspective paper introduces a metaverse-enabled framework to levels fleets. The consists parallel intelligence-based fleet control edge computing-based dynamics levels....
In the era of Industrial 4.0, next-generation control system regards cyber-physical (CPS) as core ingredient thanks to comprehensive integration physical systems, online computation, networking and control. A reliable, stable resilient CPS should pledge robustness safety. significant concern in development arises from security issues since is vulnerable constraints, ubiquitous uncertainties malicious cyber attacks. The stochastic model predictive (MPC) framework mechanism a possible approach...
In this paper, an asynchronous stochastic self-triggered distributed MPC (DMPC) control scheme is proposed for vehicular platoon systems under coupled state constraints and additive disturbance. considered systems, each vehicle broadcasts its predicted as beacon information to neighbouring vehicles through the ad-hoc network (VANET). To reduce communication burden in VANET, proactively determines next sampling time instant by solving DMPC problem at instant. The formulated utilizing local...