- Muscle activation and electromyography studies
- EEG and Brain-Computer Interfaces
- Neuroscience and Neural Engineering
- Smart Grid Energy Management
- Stability and Control of Uncertain Systems
- Multilevel Inverters and Converters
- Advanced DC-DC Converters
- Islanding Detection in Power Systems
- Infrastructure Maintenance and Monitoring
- Microgrid Control and Optimization
- Advanced Sensor and Energy Harvesting Materials
- Advanced Decision-Making Techniques
- Advanced Image Fusion Techniques
- Advanced SAR Imaging Techniques
- Cybersecurity and Information Systems
- Advanced Multi-Objective Optimization Algorithms
- Complex Network Analysis Techniques
- Neural Networks Stability and Synchronization
- Gene Regulatory Network Analysis
- Metaheuristic Optimization Algorithms Research
- Iterative Learning Control Systems
- Vehicle License Plate Recognition
- Sulfur Compounds in Biology
- Advanced Image Processing Techniques
- Mathematical Control Systems and Analysis
Hunan Institute of Engineering
2023
Hunan Institute of Technology
2023
Dongfeng Motor Group (China)
2021
Hunan University
2018-2020
Zhejiang University of Science and Technology
2017-2020
China Aerospace Science and Industry Corporation (China)
2016-2018
University of Portsmouth
2018
Hunan University of Science and Technology
2017
University of Houston
2014-2015
Zhejiang University
2013-2014
A new approach has been developed by combining the K-mean clustering (KMC) method and a modified convolution kernel compensation (CKC) for multichannel surface electromyogram (EMG) decomposition. The KMC was first utilized to cluster vectors of observations at different time instants then estimate initial innervation pulse train (IPT). CKC method, with novel multistep iterative process, conducted update estimated IPT. performance proposed K-means clustering-Modified (KmCKC) evaluated...
The dropper is one of the core components high speed railway catenary and failure will lead to serious transportation accidents. It very important carry out defect detection. There are a large number droppers installed in catenary. images collected by high-definition camera on top moving inspection vehicles. image quality consistency poor, it difficult identify defects automatically. department companies lack efficient intelligent detection methods. This article innovatively proposes...
There is an unmet need to accurately identify the locations of innervation zones (IZs) spastic muscles, so as guide botulinum toxin (BTX) injections for best clinical outcome. A novel 3D IZ imaging (3DIZI) approach was developed by combining bioelectrical source and surface electromyogram (EMG) decomposition methods image distribution IZs in target muscles. Surface motor units (MUs), identified from bipolar map their MU action potentials (MUAPs) were employed a prior knowledge 3DIZI improve...
Virtual synchronous generator (VSG) control strategy has been widely used in the AC microgrid recent years. However, VSG is lack of decoupling ability, and its governor also inertia block speed controller block, resulting poor dynamic performance, steady-state low accuracy power sharing microgrid. In this study, a novel incorporating improved coupling compensation proposed to improve performance Its comprises inertia, which can enhance angular frequency decrease difference between diesel...
The developed muscle activity imaging approach (MAI) was validated with surface EMG and intramuscular signals simultaneously acquired from the biceps of a healthy male subject. 128 unipolar channels were employed for measurement one bipolar channel simultaneous validation purpose. Ultrasound scans also specifically performed to localize location wire electrode inserted into biceps. measurements, after noise filtering signal decomposition, used reconstruct internal activities by using MAI...
LLC resonant DC-DC converter has been widely used in high power density and efficiency applications.Pulse frequency modulation (PFM) is commonly applied due to its wide soft-switching range.In some special cases, phase shift (PSM) widen voltage regulation range, improve light-load efficiency, or implement a soft start-up process.Because with 2 control degrees of freedom (2DOFs), switching duty ratio, unified analysis optimization for 2DOFs desired.This paper makes an effort present time...
Electro-aerodynamic unmanned aerial vehicles (EAD-UAVs) have strict requirements for lightweight. Due to the heavy weight of magnetic components and insulation materials, power source EAD-UAV, an <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">LCC</i> high voltage supply (HVPS)'s specific cannot meet minimum requirements. To improve HVPS, this article will optimize core, integrated transformer structure. First, weight-frequency relation...
Virtual synchronous generator (VSG) control lacks voltage inertia and powerful decoupling capabilities. The of the distributed (DG) unit controlled by VSG will be easily affected power fluctuations high-frequency noise, DG coupling usually makes effect unsatisfactory. In order to effectively reduce fluctuations, influence noise on voltage, regulation, improve economy economic system, improved that combines virtual impedance is proposed in this paper. second-order strategy can minimize change...
A method based on measurement correlation (MC) and linear minimum mean square error (LMMSE) for multichannel surface electromyography (sEMG) signal decomposition was developed in this study. This MC-LMMSE gradually iteratively increases the between an optimized vector a reconstructed matrix that is correlated with matrix. The performance of proposed evaluated both simulated experimental sEMG signals. Simulation results show can successfully reconstruct up to 53 innervation pulse trains true...
The research purpose of uncertain time-varying delays (T-V Ds) switching systems is mainly to analyse stability systems, design suitable controllers, and apply them practical engineering problems. In this article, a issue robust analysis formulated for kind switched (SSs) with linear T-V Ds. Firstly, stabilities norm SSs are obtained by establishing multiple Lyapunov-Krasovskii functionals (MLKF) along the application mode-dependent average dwell time (MDADT) approach. Second, determines...
Switching systems offer an efficient approach for modeling and controlling intricate systems, their associated topics have garnered significant attention in the realm of control research. Current research pertaining to analysis stability development controllers these often relies on methods such as dwell time or state feedback, which can lead unnecessary switching actions. However, event-triggered method effectively minimize frequency communication control, thereby conserving valuable...
This paper investigates the finite-time boundedness (FTB) and robust control of switched linear systems with unstable (SLS-US) by utilizing mode-dependent average dwell time (MDADT). Due to consideration presence subsystems in our work, this distinguishes between switching signals stable cases based on characteristic allowing each subsystem have independent (ADT) according MDADT. Stable utilize slow MDADT (SMDADT), whereas employ fast (FMDADT). behaviour effectively addresses energy...
Aiming at characteristics of the soft coal roadway engineering geology and deformation, exposure research seam, theoretical analysis, numerical calculation program design were carried out. First all, according to disclosure, seam geological conditions in Xinxing mine expounded. Meanwhile, bolt supporting axial effect, transverse anchorage body mechanics strengthening mechanism problems such as strength have been analyzed. The paper pointed out that with very small cohesive force can form a...
Space‐vector pulse width modulation (SVPWM) provides several degrees of freedom, which can be optimised to improve the harmonic performance three‐phase inverter. Genetic algorithm (GA) and immune (IA) are two classical probabilistic optimisation algorithms, simple in structure do not need an accurate mathematical model. However, accuracy reliability low when they optimise high‐dimensional non‐linear problem, such as SVPWM control sequence To cope with these problems, a genetic...
A hybrid approach is successfully developed in this study by combining the fuzzy C means (FCM) clustering method and Convolution Kernel Compensation (CKC) for multi-channel surface electromyogram (EMG) decomposition. The FCM utilized to estimate initial innervation pulse trains (IPTs) of motor units (MUs) from a few channel EMG signals, CKC then employed final IPTs. Computer simulation results demonstrate improved efficiency accuracy compared classic method.
This study aims to establish a decision fusion scheme that synthesize the advantages of different classifiers and avoids uncertain decisions. Thus, relative confidence factors each classifier was proposed correct classification made by classifier, final result derived fusing all corrected based on combination Dempster-Shafer's rule. The novel is evaluated in scenario sEMG-based hand movement identification, which five classffiers are adopted. experimental results demonstrated can obtain...
Community detection finds its applications in the biological networks and social networks, like predicting functional modules of proteins, recommending items to users based on their interests, exploring potential relationships among persons. Modularity is a widely-used criterion for evaluating quality detected community structures. Due modularity maximization an NP-hard problem, developing approximate algorithms with good accuracy computational complexity challenging great significance. In...
The dynamical interconnected complex systems, whose time scales of dynamics and the change topologies are comparable, well modeled by temporal networks. controllability networks fundamental to effectiveness efficiency their desired functions. For a controllability-damaged network, it is great significance from perspective both theoretic research industrial engineering study how design proper strategies recover it. In this paper, firstly, degree defined measure dimension controllable subspace...
In general, meteor trail interference of owe density (MTIOD) can degrade target detection performance over-thehorizon radar (OTHR). By exploiting MTIOD suppression algorithm based on dyadic wavelet transform (DWT), window function (WF) and CANDECOMP/PARAFAC (CP) decomposition, an effective approach is proposed to solve the problem. The position calculated through utilizing DWT WF. Therefore, with data involved in position, Hankel tensor three orders constituted. CP applied resolve obtained...