A5114175244- Power Systems and Renewable Energy
- Sensorless Control of Electric Motors
- Wind Turbine Control Systems
- Distributed Control Multi-Agent Systems
- Advanced Battery Technologies Research
- Neural Networks Stability and Synchronization
- Advanced Image Fusion Techniques
- Cardiovascular Health and Disease Prevention
- Electric and Hybrid Vehicle Technologies
- Advanced Algorithms and Applications
- Esophageal Cancer Research and Treatment
- Image and Object Detection Techniques
- Blood Pressure and Hypertension Studies
- Sleep and Wakefulness Research
- Brain Tumor Detection and Classification
- Lung Cancer Diagnosis and Treatment
- Autophagy in Disease and Therapy
- Sleep and related disorders
- Sleep and Work-Related Fatigue
- Advanced Memory and Neural Computing
- Ferroptosis and cancer prognosis
- solar cell performance optimization
- Energy Load and Power Forecasting
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
Hebei Medical University
2024
Fourth Hospital of Hebei Medical University
2024
Southwest University
2024
Ningbo Medical Center Lihuili Hospital
2024
Ningbo University
2024
Anyang Eye Hospital
2021
Northeastern University
2016
Xi'an Jiaotong University
2010-2014
This study considers the distributed fault‐tolerant consensus problem for uncertain multi‐agent systems using adaptive protocol. A more general time‐varying actuator fault model is given, which includes loss of effectiveness, stuck, bias and outage fault. new control scheme developed to compensate effect fault, multiple delayed state perturbations, mismatched parameter uncertainties external disturbances on leader–follower systems. Based local information neighbouring agents, updating...
Abstract Objective Sleep problems and their detrimental effects on adolescents’ physical mental health have received substantial attention. Prior studies focused mainly the direct association between sleep health; however, little is known about underlying mediating mechanism. To address this gap, present study constructed a chain mediation model to examine deficiency status in adolescents, by introducing two variables-physical perception school adjustment. Methods A sample of 7530 senior...
State of charge (SOC) is very important parameter for monitoring the battery and discharge operation estimating drive distance electric vehicle. Especially, with cycle number increasing, precision estimation SOC management system still not well resolved. Therefore, in this study, aim at accurate sampling voltage, current temperature signals based on LTC6803-3 chip, paper proposed a support vector machine (SVM) optimized by particle swarm optimization (PSO) to improve accuracy. The results...
To improve the energy-regenerative efficiency and robustness of electric vehicle (EV), a novel controller was designed applied to charge current loop EV. The that combines neural network (NN) with traditional sliding mode (SMC) comprises radial basis function NN (RBFNN) SMC. RBFNN is used adaptively adjust switching gain simulation model system built MATLAB/SIMULINK, results show comparing SMC, NNSMC has better performance at response speed, steady-state tracking error resisting disturbance...
Multimodal fusion is crucial in joint decision-making systems for rendering holistic judgments. Since multimodal data changes open environments, dynamic has emerged and achieved remarkable progress numerous applications. However, most existing methods lack theoretical guarantees easily fall into suboptimal problems, yielding unreliability instability. To address this issue, we propose a Predictive Dynamic Fusion (PDF) framework learning. We proceed to reveal the from generalization...
<title>Abstract</title> Background This retrospective study assesses the prognostic value of subcarinal lymph node dissection (SCLND) in esophageal squamous cell carcinoma (SCC) middle and lower thoracic regions. Methods Conducted at Fourth Hospital Hebei Medical University, included 1588 patients with SCC who underwent radical resection from 2008 to 2014. After propensity score matching, 661 were analyzed, 185 without 476 SCLND. Kaplan-Meier curves, Log-rank tests, Cox regression used for...
Lysosomes are digestive organelles responsible for endocytosis and autophagy. Recently, the malignancy invasiveness head neck squamous cell carcinoma (HNSCC) has been increasingly studied with role of lysosomes. A list lysosome-related genes were obtained from MSigDB. Spearman correlation univariate Cox regression analyses combined differential expression analysis conducted to detect differentially expressed related prognosis. The prediction prognostic signature was evaluated by plotting...
The inherent challenge of image fusion lies in capturing the correlation multi-source images and comprehensively integrating effective information from different sources. Most existing techniques fail to perform dynamic while notably lacking theoretical guarantees, leading potential deployment risks this field. Is it possible conduct with a clear justification? In paper, we give our solution generalization perspective. We proceed reveal generalized form derive new test-time paradigm. It...
The dynamic imbalance of the fore-background is a major challenge in video object counting, which usually caused by sparsity foreground objects. This often leads to severe under- and over-prediction problems has been less studied existing works. To tackle this issue we propose density-embedded Efficient Masked Autoencoder Counting (E-MAC) framework paper. effectively capture variations across frames, utilize an optical flow-based temporal collaborative fusion that aligns features derive...
This article summarizes the methods of Maximum Power Point Tracking (MPPT),including CVT, P&O, INC and intelligent control, merits demerits are narrated in detail. Their recent research results analyzed, finally prospect development trend MPPT photovoltaic power generation system is discussed.
This paper consider the distributed fault-tolerant tracking control problem for linear multi-agent systems with unmatched parameter uncertainties, external disturbances and actuator faults. The considered time-varying fault includes loss of effectiveness, outage stuck. For case where communication graph is undirected connected, a new scheme proposed. Based on local state information neighboring agents, controller gains are adjusted online according to designed adaptive mechanism compensate...
The auto-disturbance-rejection-controller (ADRC) is a new control theory that doesn’t need the exact object model. variation of load resistance observed and estimated by an extended state observer, which core ADRC. It known to all t-he output power wind turbine direct ration third speed; hence flywheel introduced keep stable current output. system composed permanent magnetism synchronized generator flywheel. nonlinear, nonlinear parts can be considered as disturbance additional state. Matlab...
The auto-disturbance-rejection-controller (ADRC) is a new control theory that doesn’t need the exact object model. variation of load resistance observed and estimated by an extended state observer, which core ADRC. It known to all t-he output power wind turbine direct ration third speed; hence flywheel introduced keep stable current output. system composed permanent magnetism synchronized generator flywheel. nonlinear, nonlinear parts can be considered as disturbance additional state. Matlab...
The wind storage combined power generation mode can effectively solve the technical bottlenecks of large-scale grid connected operation and improve grid's ability to accept power. However, due high cost energy imperfection electricity price mechanism, it is necessary study capacity optimization wind-storage system. Based on fuzzy control strategy, this paper determined charge discharge model system, established Monte Carlo reliability evaluation economic that aims at maximizing annual...
Credible capacity in measure the value of intermittent power supply connected to system is great significance. In this paper, we've established probability model wind power, and given operational characteristics energy storage device, it proposes a strategy control, then credible calculation method for wind-generated unified generator system. Using non-sequential Monte Carlo simulation framework, based on proposed savings control strategy, evaluates effect The effectiveness evaluation...