Chen Hong

ORCID: 0000-0002-1376-9789
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About
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Research Areas
  • Advanced Algorithms and Applications
  • Advanced Sensor and Control Systems
  • Industrial Technology and Control Systems
  • Chinese history and philosophy
  • Advanced Control Systems Optimization
  • Fault Detection and Control Systems
  • Embedded Systems and FPGA Design
  • Adaptive Control of Nonlinear Systems
  • Manufacturing Process and Optimization
  • Real-time simulation and control systems
  • Traffic control and management
  • Advanced Statistical Process Monitoring
  • EFL/ESL Teaching and Learning
  • Industrial Vision Systems and Defect Detection
  • Autonomous Vehicle Technology and Safety
  • Advanced Computational Techniques and Applications
  • Simulation and Modeling Applications
  • Iterative Learning Control Systems
  • Translation Studies and Practices
  • Wireless Sensor Networks and IoT
  • Vehicle emissions and performance
  • Advanced Decision-Making Techniques
  • Quality and Supply Management
  • Phonetics and Phonology Research
  • Second Language Learning and Teaching

Tongji University
2011-2025

South China Normal University
2025

Zhejiang University
2011-2024

Anhui University
2010-2023

East China Normal University
2010-2022

Dalian Polytechnic University
2021

State University "Kyiv Aviation Institute"
2021

Chinese People's Liberation Army
2021

Nanchang University
2021

Capital Medical University
2020

Decoupling control of the air supply system is crucial for enhancing performance and prolonging service life proton exchange membrane (PEM) fuel cells. However, strong coupling nonlinearity inherent in pose significant challenges. Current decoupling techniques typically rely on model knowledge commonly overlook avoidance compressor surge, which motivates our work with a twofold contribution. We first design data-driven feedforward (DDF) propose feasible domain constraint (FDC) to avoid...

10.1109/tcsi.2025.3526144 article EN IEEE Transactions on Circuits and Systems I Regular Papers 2025-01-01

This paper concerns performance modeling of semiconductor manufacturing operations. More specifically, it focuses on queueing network models for an analysis wafer fabrication facilities. The congestion problems that plague facilities are described in general terms, and several years' operating data from one particular facility summarized. A simple model is constructed, the used to predict certain key system measures. values predicted by found be within about 10% those actually observed....

10.1287/opre.36.2.202 article EN Operations Research 1988-04-01

The term ‘Smartphone’ has commonly discussed among young adult especially students from higher learning institutional. Cell phone becoming a part of their life-tool eventually. Young eventually used to communicate with people, alarming themselves few reminders, direct ways, downloading songs and games, texting messages more. According Rice Katz (2008), the cell can be said as social medium that developing into multimedia digital platform which ability provides, obtains, shares personal...

10.35335/ijosea.v2i2.200 article EN cc-by-nc International Journal on Social Science Economics and Art 2012-08-01

A scheme of single‐phase‐to‐ground faulty feeder detection by adjusting the compensation degree arc‐suppression coil (CDASC) for compensated distribution network is presented in this study. The defines transient variation components (TVCs) feeders, which use signals zero‐sequence current each and voltage bus before adjustment those after adjustment. TVCs sound feeders always keep almost 0, while TVC changes remarkably CDASC. On basis TVCs, can be achieved sensitively accurately with simple...

10.1049/iet-gtd.2016.1843 article EN IET Generation Transmission & Distribution 2017-07-11

Deoxyartemisinin, a compound separated from Artemisinin annua L., shows anti-inflammatory and antiulcer activities. 10-Deoxoartemisinin is novel with strong antimalarial effect derivatized artemisinin. Compared to the famous natural artemisinin, deoxyartemisinin lacks peroxide bridge structure, while 10-deoxoartemisinin remains this special group but loses 10-position keto group. To clarify their pharmacological differences, absorption, distribution, metabolism, excretion (ADME) properties...

10.1021/acsomega.0c05465 article EN cc-by-nc-nd ACS Omega 2020-12-28

Various artificial intelligence (AI) algorithms have been developed for autonomous vehicles (AVs) to support environmental perception, decision making and automated driving in real-world scenarios. Existing AI methods, such as deep learning reinforcement learning, criticized due their black box nature. Explainable technologies are important assisting users understanding vehicle behaviors ensure that trust, accept, rely on devices. In this paper, an explainable <inline-formula...

10.1109/tits.2024.3521385 article EN IEEE Transactions on Intelligent Transportation Systems 2025-01-01

Summary Pore structure is sensitive to land management, fertilization and tillage. The response of pore long‐term fertilizer application crucial for understanding the mechanisms various soil processes involved. In this study, effect chemical organic manure on microscale network in was quantified by synchrotron‐based X‐ray microcomputed tomography (SR‐mCT) a model. Macroaggregates 5–7 mm diameter were collected from paddy (Typic Haplustalf) with experiment established 1996 under an annual...

10.1111/ejss.12513 article EN European Journal of Soil Science 2017-12-21

This paper proposes a fuzzy-observer-based control algorithm to improve the efficiency of traction dual rectifiers high-speed trains and address low-frequency oscillation issue induced by interaction DC-link voltage controller with circuit parameters. The proposed observer checks for errors in system model estimating premise variables, fuzzy then accurately compensates estimated variables. method is deduced from Takagi-Sugeno logic model, which described class IF-THEN systems. Fast...

10.1109/tvt.2020.3047663 article EN IEEE Transactions on Vehicular Technology 2020-12-28

Abstract Model predictive control is widely used in the design of autonomous driving algorithms. However, its parameters are sensitive to dynamically varying conditions, making it difficult be implemented into practice. As a result, this study presents self-learning algorithm based on reinforcement learning tune model controller. Specifically, proposed extract features dynamic traffic scenes and adjust weight coefficients In method, risk threshold classify level scene features, aid reward...

10.1186/s10033-023-00904-7 article EN cc-by Chinese Journal of Mechanical Engineering 2023-07-03

In this paper, the authors developed an optimal stopping model for control of investment project that takes uncertain length time to develop and can still provide a partial payoff even if it is terminated without achieving its original performance objectives. They first investigated solution under specific set assumptions about forms functions characterize uncertainty buildup value. An analytical was derived special case where discount rate zero, numerical solutions were obtained general...

10.1109/17.552808 article EN IEEE Transactions on Engineering Management 1997-01-01

Power quality is one of many issues affecting the traction power supply system. Prominent among causes poor voltage low-frequency oscillation (VLFO). In this paper, a fuzzy-based PI (FPI) controller to optimize performance line-side converter (TLSC) and suppress effect VLFO proposed. Firstly, mathematical model China’s railway high-speed five single-phase TLSC developed, then FPI control unit designed based on specific requirements. The fuzzy antecedent consequence rules were generated...

10.3390/en12214094 article EN cc-by Energies 2019-10-26

A research on fault compensation method of battery pole-piece winding and unwinding system based fault-tolerant control. Firstly, the is designed to detect isolate fault. Then, a reconfiguration mechanism module switched be used in control compensation. This approach was applied tension unwingding for diagnosis demonstrated effective by simulation experiment.

10.1016/j.proeng.2011.08.942 article EN Procedia Engineering 2011-01-01
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