- Additive Manufacturing and 3D Printing Technologies
- Distributed Control Multi-Agent Systems
- Neural Networks Stability and Synchronization
- Additive Manufacturing Materials and Processes
- Advanced Battery Technologies Research
- Microgrid Control and Optimization
- Stability and Control of Uncertain Systems
- Injection Molding Process and Properties
- Geomechanics and Mining Engineering
- Geoscience and Mining Technology
- Adaptive Control of Nonlinear Systems
- Advanced Sensor and Control Systems
- Building Energy and Comfort Optimization
- Power Systems and Renewable Energy
- Advanced Algorithms and Applications
- Innovations in Concrete and Construction Materials
- Manufacturing Process and Optimization
- Urban Heat Island Mitigation
- Nonlinear Dynamics and Pattern Formation
- Fault Detection and Control Systems
- Advanced Combustion Engine Technologies
- Autonomous Vehicle Technology and Safety
- Vehicle emissions and performance
- Robotic Path Planning Algorithms
- Machine Fault Diagnosis Techniques
Tianjin University
2015-2025
Inner Mongolia Agricultural University
2025
Taiyuan University of Technology
2022-2024
Taiyuan Heavy Industry (China)
2024
Shanxi Electromechanical Design and Research Institute
2024
Tennessee Technological University
2020-2024
Ministry of Education of the People's Republic of China
2022-2024
Shandong Normal University
2024
Wuhan University of Science and Technology
2024
North University of China
2024
Diagnosing potential faults is of great importance to ensure reliability battery management systems. This because a current or voltage sensor fault often results in an inaccurate state-of-charge estimate. A temperature will cause abnormal thermal management. internal resistance (BIR) can lead increase energy and power losses, capacity fading, further degradation health. In addition, frequent data transmission diagnosis unit waste communication resources. To this end, combined model-based...
This article is dedicated to the consensus problem for interacting agents of double-integrator dynamics subject antagonistic reciprocity, described by negative scalar parameters. To this end, we first show existence weighted gains which play an essential role solving problem. Then, establish relationship between and parameters guarantee that underlying "Laplacian" matrix contains a simple zero eigenvalue remaining eigenvalues enjoy positive real parts. Based on above analysis, further...
Additive manufacturing (AM) is evolving rapidly and this trend creating a number of growth opportunities for several industries. Recent studies on AM have focused mainly developing new machines materials, with only limited the troubleshooting, maintenance, problem-solving aspects processes. Deep learning (DL) an emerging machine (ML) type that has widely been used in research studies. This team believes applying DL can help make processes smoother AM-printed objects more accurate. In...
Metal additive manufacturing (AM) has gained much attention in recent years due to its advantages including geometric freedom and design complexity, appropriate for a wide range of potential industrial applications. However, conventional metal AM methods have high-cost barriers the initial cost capital equipment, support, maintenance, etc. This study presents low-cost material extrusion technology as prospective alternative production metallic parts manufacturing. The filaments used consist...
In winter, a large vertical temperature difference usually appears in office spaces with single-mode air conditioner heating, which results inefficient energy consumption and challenges meeting the thermal comfort requirements of workers. Aiming at improving productivity motivation employees, it is necessary to improve environment office. present study, personal heated table mats combination conventional HVAC system were considered as research object, efficiency enhancing ambient human was...
This paper proposes an event-triggered sensor fault estimation method for lithium-ion battery packs with voltage and current faults. First, adaptive mechanism is developed to alleviate communication resource cost. A sliding mode observer based on thermal electrical models of batteries designed generate equivalent output error injection signals. Then, a estimator driven by the signals investigated estimate The strategy solving gain presented. And effect system uncertainty our proposed...
Global warming has increased the cooling energy consumption for operation of built heritages, especially industrial heritage which suffers from thermal performance deficiencies and are facing dilemma functional conversion. In order to satisfy comfort users while preserving value heritage, it is necessary monitor indoor environment analyze its impacts on human beings. present study, a cotton textile factory located in Qingdao, Shandong Province, China, was selected, where long-term...
Abstract 3D Printing (3DP), also known as Additive Manufacturing (AM) is the latest production technology. Its popularity in fabricating functional parts all fields growing day by day. The range of printed products limitless, including glass frames to hearing aids. It thus important train educators and students regarding this cutting-edge technology so that they become familiar with functionality implementation it several courses, laboratories, projects. This paper reports novel developments...
This paper investigates the fault diagnosis scheme for parallel lithium-ion battery packs with main current sensor and internal resistance (BIR) fault. First of all, an equivalent circuit model a single cell is established, which paves way constructing state space packs. Based on it, adaptive Kalman filter designed to estimate gain loss coefficient More importantly, proposed method enables use estimated information achieve fault-tolerant state-of-charge. For BIR fault, data-driven detection...
Additive manufacturing, commonly known as 3D printing, represents the forefront of modern manufacturing technology. Its growing popularity spans across research and development, material science, design, processes, everyday applications. This review paper presents a crucial nano-level examining it from perspectives materials, industrial applications, future trends. The authors have synthesized latest insights wide range archival articles source books, highlighting key findings. primary...
ABSTRACT Generally, the majority of achievements on privacy preservation consensus always anchor that number interacting agents is permanent. Nevertheless, this overly restrictive in many multi‐agent systems (MAS) applications where agent removal or joining may arise at any operational instant. In light this, current article studies privacy‐preserving problem open MAS. To achieve we propose an state‐decomposition‐based algorithm not only assures but also achieves initial states, despite...
Potato is an important crop that can be used both as grain and vegetable in northern China. However, the continuous cropping system of potato has led to a sharp decline its yield quality. As one effective strategies alleviate obstacle, rotation received extensive attention agricultural practices. On this basis, we have conducted in-depth exploration effects potato-maize on structure diversity soil microbial community, aiming analyze internal correlation mechanism between community quality...
ABSTRACT In this paper, a prescribed‐time cooperative integrated guidance and control (PTCIGC) is designed for reentry vehicles to achieve control. This method based on bank‐to‐turn skid‐to‐turn (BTT‐STT) hybrid strategy. Firstly, an IGC model of the vehicle established, which can be divided into three subsystems: Relative motion subsystem, airflow angle three‐channel rate subsystem. Secondly, controller relative subsystem obtain commands. Thirdly, sliding mode (SMC) track Fourthly,...
Additive manufacturing (AM), also known as three-dimensional (3D) printing, is the process of building a solid object in layer-wise manner. Cybersecurity prevalent issue that appears more and frequently AM becomes popular. This paper focuses on effect fan speed printing quality presents plugin called Fan Speed Attack Detection (FSAD) predicts monitors speeds throughout process. The goal to prevent cybersecurity attacks, specifically targeting speed. Using proposed FSAD, any changes during...
This study investigated structural safety evaluation of in-service tunnels. Considering the factors that affect tunnels, indices and grading standards for evaluations concrete tunnels were first introduced. Subsequently, a system was established based on an adaptive neuro-fuzzy inference (ANFIS). Taking tunnel as example, according to characteristics Chinese specification, determined, established. In system, effect data size training results analyzed theory statistics Delphi method are used...
Significant advances have recently been achieved in Multi-Agent Reinforcement Learning (MARL) which tackles sequential decision-making problems involving multiple participants. However, MARL requires a tremendous number of samples for effective training. On the other hand, model-based methods shown to achieve provable advantages sample efficiency. attempts just started very recently. This paper presents review existing research on MARL, including theoretical analyses, algorithms, and...