Tengteng Wang

ORCID: 0009-0005-0695-2779
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About
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Research Areas
  • Power Quality and Harmonics
  • X-ray Diffraction in Crystallography
  • Crystallization and Solubility Studies
  • Energy Load and Power Forecasting
  • Advanced Adaptive Filtering Techniques
  • Electric and Hybrid Vehicle Technologies
  • Vehicle emissions and performance
  • Adaptive Control of Nonlinear Systems
  • Concrete and Cement Materials Research
  • Zeolite Catalysis and Synthesis
  • Structural Health Monitoring Techniques
  • 3D Printing in Biomedical Research
  • Magnesium Oxide Properties and Applications
  • Microgrid Control and Optimization
  • Marine and coastal ecosystems
  • Railway Systems and Energy Efficiency
  • Methane Hydrates and Related Phenomena
  • Vehicle Noise and Vibration Control
  • Infrastructure Maintenance and Monitoring
  • Advanced SAR Imaging Techniques
  • Optimal Power Flow Distribution
  • Tunneling and Rock Mechanics
  • Geotechnical Engineering and Soil Mechanics
  • Ammonia Synthesis and Nitrogen Reduction
  • Cyberloafing and Workplace Behavior

Weifang University
2024

Nanjing University of Science and Technology
2024

Xiamen University
2024

Shandong University of Technology
2024

Shandong First Medical University
2024

Longhua Hospital Shanghai University of Traditional Chinese Medicine
2023

Shanghai University of Traditional Chinese Medicine
2023

Civil Aviation University of China
2023

Nanjing Tech University
2022

Qingdao University of Science and Technology
2022

10.1007/s13042-018-0792-y article EN International Journal of Machine Learning and Cybernetics 2018-02-12

Graphene’s outstanding properties make it a potential material for reinforced cementitious composites. However, its shortcomings, such as easy agglomeration and poor dispersion, severely restrict application in materials. In this paper, highly dispersible graphene (TiO2-RGO) with better dispersibility compared oxide (GO) is obtained through improvement of the preparation method. study, both GO TiO2-RGO can improve pore size distribution cement mortars. According to results mercury intrusion...

10.3390/ma14040915 article EN Materials 2021-02-15

A novel adaptive method for the micro-electro mechanical systems (MEMSs) gyroscope based on a dynamic surface control and combined with approach of fuzzy sliding mode (SMC) was shown in this paper. The first-order filter introduced to conventional backstepping technique control, which not only maintains advantage original technique, but also reduces number parameters avoids problem parameter expansion. logic system is employed approximate characteristics gyroscope; SMC kind compensation...

10.1109/access.2016.2596538 article EN cc-by-nc-nd IEEE Access 2016-01-01

An adaptive backstepping fuzzy neural network (FNN) controller using a sliding mode is designed to suppress the harmonics and improve performance of shunt active power filter (APF). A method transforms APF system into series subsystems uses virtual control simplify design. FNN utilized approach nonlinear system. employed adjust gain compensate approximation error diminish chattering. The weights parameters are adjusted in real-time guarantee asymptotic stability Simulation experiemental...

10.1109/access.2020.2995755 article EN cc-by IEEE Access 2020-01-01

The turbocharging system of a six-cylinder diesel engine is analysed. It shows that the original single-stage turbocharger cannot meet requirement should maintain certain power output at different altitudes owing to significant differences in air density. A two-stage sequential proposed, and specific parameters this are determined on basis required recovery engine. performances with simulated. results show that, through switching between turbocharging, can remain same as sea level up 2000 m...

10.1177/0954407014535919 article EN Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering 2014-07-22

This paper proposes an adaptive radial basis function (RBF) neural network (NN) fuzzy control scheme to enhance the performance of shunt active power filter (APF).The RBF NN is utilized on approximation nonlinear in APF dynamic model and weights are adjusted online according law from Lyapunov stability analysis ensure state hitting sliding surface along it. In order compensate error eliminate existing chattering, mode term by systems, which can robust system. The simulation results using...

10.1109/access.2016.2591978 article EN cc-by-nc-nd IEEE Access 2016-01-01

A novel adaptive radial basis function neural network H-infinity control strategy with robust feedback compensator using linear matrix inequality (LMI) approach is proposed for micro electro mechanical systems vibratory gyroscopes involving parametric uncertainties and external disturbances. The system comprised of a controller, which designed to mimic an equivalent law aimed at relaxing the requirement exact mathematical model derived eliminate effect modeling error Based on Lyapunov...

10.1109/access.2016.2618910 article EN cc-by-nc-nd IEEE Access 2016-01-01

Various applications of graphene-based materials in construction are an alternative to improve the properties ordinary Portland cement (OPC)-based binders. This paper used a titanium dioxide situ intercalation method enhance dispersibility reduced graphene oxide (RGO) and then explored effects incorporation obtained TiO2–RGO composite RGO on mechanical durability-related OPC-based Experimental results showed that TiO2 was successfully intercalated into layers could dispersion water or...

10.1021/acsanm.2c03794 article EN ACS Applied Nano Materials 2022-11-18

In this paper, an adaptive fuzzy-neural-network (FNN) controller using a fuzzy sliding mode is proposed to enhance the performance of shunt active power filter (APF). The with weights used approximate nonlinear dynamics APF system. An system employed compensate network approximation error and eliminate chattering. stability convergence closed-loop are guaranteed based on Lyapunov analyis. control method evaluated by experimental validation in laboratory, demonstrating compensation strong robustness.

10.1109/ica-symp.2019.8646315 article EN 2019-01-01

A series of borosilicate MFI zeolites were successfully synthesized using imidazolium-based molecules. The interactions between the boron-enriched framework and guest molecules elucidated.

10.1039/d1ce01686e article EN CrystEngComm 2022-01-01

As a response of the coastal oceans to more severe anthropogenic disturbance, increasing primary production has been frequently observed in recent years. This raises question how this progressive change reshapes long-term carbon sequestration oceans. With mind, we investigated sediment organic matter (OM) preserved on shelf northern South China Sea (NSCS) where high observed. Across core, relatively low total content around 0.60% was Fatty acids with less numbers exhibit exponential...

10.3389/fmars.2024.1438092 article EN cc-by Frontiers in Marine Science 2024-07-05

Adipose Stem Cell Tissue Engineering (ASCTE) has emerged as a promising field of research in recent years. To gain comprehensive insights into this field, we conducted bibliometric analysis using Web Science Core Collection and various tools, including CiteSpace, VOS viewer, R-Bibliometrix. Our focuses on the historical development evolution active topics ASCTE from time-dynamics perspective, covering 4522 publications, 3924 academic institutions, 873 journals, with significant growth...

10.1089/ten.tec.2023.0152 article EN Tissue Engineering Part C Methods 2023-08-14

Due to the sparse feature enhancement only concentrates on strong scatterers of target interest, conventional sparsity-driven Synthetic Aperture Radar (SAR) imagery often encounters loss elaborated-structure features, where weak would be overlapped by sidelobes scatterers. In this paper, an Elaborated-Structure Awareness SAR (ESA-SAR) imaging algorithm is proposed based Hessian-Enhanced Total Variation (TV) regularization and cooperation. By encoding Hessian operator onto prior interested...

10.1109/tgrs.2023.3313154 article EN IEEE Transactions on Geoscience and Remote Sensing 2023-01-01

This paper presents a new definition of vulnerability area voltage sags concentric relaxation (CRVA) that is the caused by fault with point as center. Analyzing CRVA could greatly reduce workload involved in traditional sag areas and provided us judgment reference attribution liabilities between power supply department users. Based on such conclusions, we use GUI MATLAB to conduct user graphical interface programmed develop general software for analyzing sags. Meanwhile, take into account...

10.1109/appeec.2015.7380901 article EN 2015-11-01
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