A5068766273- Prosthetics and Rehabilitation Robotics
- Image and Signal Denoising Methods
- Adaptive Control of Nonlinear Systems
- Polymer Nanocomposites and Properties
- Stroke Rehabilitation and Recovery
- Control and Dynamics of Mobile Robots
- Mechanical Circulatory Support Devices
- Advanced Sensor and Energy Harvesting Materials
- Cell Image Analysis Techniques
- Numerical methods in engineering
- Robotic Path Planning Algorithms
- Microfluidic and Capillary Electrophoresis Applications
- Material Properties and Applications
- Geotechnical Engineering and Underground Structures
- Distributed Control Multi-Agent Systems
- Seismic Imaging and Inversion Techniques
- Machine Fault Diagnosis Techniques
- Hydraulic and Pneumatic Systems
- Advanced Control Systems Optimization
- Adsorption and Cooling Systems
- Computational Fluid Dynamics and Aerodynamics
- Structural Health Monitoring Techniques
- Evaluation Methods in Various Fields
- Control Systems in Engineering
- Teleoperation and Haptic Systems
Anhui Polytechnic University
2022-2024
Ministry of Education of the People's Republic of China
2022-2023
Hohai University
2021-2022
North China Electric Power University
2021
BioElectronics (United States)
2020
University of California, Los Angeles
2020
Georgia Institute of Technology
2020
Hefei University of Technology
2020
Changsha University of Science and Technology
2019
Michigan State University
2011-2014
Abstract Active biofluid management is central to the realization of wearable bioanalytical platforms that are poised autonomously provide frequent, real-time, and accurate measures biomarkers in epidermally-retrievable biofluids (e.g., sweat). Accordingly, here, a programmable epidermal microfluidic valving system devised, which capable sampling, routing, compartmentalization for biomarker analysis. At its core, network individually-addressable microheater-controlled thermo-responsive...
To enhance the lower limbs' rehabilitation training of stroke patients, in this article, a deterministic adaptive robust control with gain parameters optimized by novel cooperative game theory is proposed for two-degree-of-freedom (DOF) limb exoskeleton robot system (LLERs) uncertainties and external disturbances. On one hand, put forward will guarantee uniform boundedness ultimate gait constraint deviation parameter estimation error. other disturbance (possibly fast time-varying), which...
SUMMARY This work proposes a new framework for the surface generation based on partial differential equation (PDE) transform. The PDE transform has recently been introduced as general approach mode decomposition of images, signals, and data. It relies use arbitrarily high‐order PDEs to achieve time–frequency localization, control spectral distribution, regulate spatial resolution. present provides variational derivation transforms. fast Fourier is utilized accomplish so avoid stringent...
Abstract This paper attempts to address the trajectory following control problem of nonholonomic mobile AGV by proposing an improved sliding mode approach in which, based on kinematics and attitude deviations established for AGV, motion characteristics are analyzed a backstepping with novel reaching law is designed. integrates merits power exponential laws promotes convergence rates tracking errors. Moreover, controller, asymptotic stability can be strictly guaranteed. The simulations have...
Nonlinear partial differential equation (PDE) models are established approaches for image/signal processing, data analysis and surface construction. Most previous geometric PDEs utilized as low-pass filters which give rise to image trend information. In an earlier work, we introduced mode decomposition evolution equations (MoDEEs), behave like high-pass able systematically provide intrinsic functions (IMFs) of signals images. Due their tunable time-frequency localization perfect...
Due to the influence of uncertain external disturbance and model error, trajectory tracking manipulators has some problems such as inaccuracy, low speed severe chattering. To solve mentioned, a sliding mode control method combined fuzzy controller Radial Basis Function Neural Network (RBFNN) was proposed. The RBFNN used approximate equivalent system manipulators, weights their hidden layers were updated adaptively online. robust item with form had been set compensate disturbances or...
Texture and feature extraction is an important research area with a wide range of applications in science technology. Selective entangled textures challenging task due to spatial entanglement, orientation mixing, high-frequency overlapping. The partial differential equation (PDE) transform efficient method for functional mode decomposition. present work introduces adaptive PDE algorithm appropriately threshold the statistical variance local variation modes. proposed applied selective...
A point cloud obtained by stereo matching algorithm or three-dimensional (3D) scanner generally contains much complex noise, which will affect the accuracy of subsequent surface reconstruction visualization processing. To eliminate a new regularization for denoising was proposed. In view fact that 3D clouds have low-dimensional structures, statistical manifold (SLDM) model established. By regularizing its dimensions, problem expressed as an optimization based on geometric constraints term...
An anchor drilling for a coal mine support system can liberate an operator from heavy work, but will cause serious vibration, which willbe transmitted to the pedestal roof bolter along manipulator. Based on multi-level transfer path analysis (MTPA) and modal superposition method (MSM), vibration model subsystem composed of joints manipulator with six degrees freedom (DOF) was established. Moreover, its frequency response function matrix also built. The 6-DOF excitation deduced. exciting...
In this paper, a novel adaptive robust control approach has been proposed for class of uncertain mechanical systems. First, aiming the unknown uncertainties which may be fast time-varying, mechanism in leakage-type will developed. Unlike prevalent methods, put forward mainly accounts estimating all lumped uncertainty terms, and does not require any information other than they are bounded; Second, through transforming gait following assignment to constraint control, an constraint-following...
Abstract The family of elliptical gears with closed pitch curves includes and deformed gears. Elliptical are not only the most widely used non-circular but also research hotspot in field non-uniform transmission. However, adjusting shape its curve is difficult, which seriously restricts popularization. This article proposes a piecewise gear curve, realizes unity all kinds mathematical model, makes ratio easier to adjust, expands connotation application scope Moreover, design approach...
Programmable microfluidic valving enables controlled routing and compartmentalized manipulation of fluid within networks channels-capabilities which can be harnessed to implement an automated, massively parallelized, diverse set bioanalytical operations in large-scale microfluidics (lab-on-a-chip) wearable (labon-the-body) applications. Stimuli-responsive hydrogels are suitable base materials construct programmable interfaces: once embedded a channel, their volumetric shrinkage/expansion (in...
To promote the precision and flexibility of dexterous robot finger, a novel impedance-based robust fuzzy sliding mode control approach is developed. In proposed scheme, an impedance part constructed aims to regulate contact force; while controller accounts for enhancing anti-interference this uncertain robotic system. Specifically, by analyzing forward inverse kinematics its dynamical model with unknown force disturbances can be established, based on model, has been designed, also, several...
In order to identify the disturbance signal in power system and reduce influence on security, a voltage classifier based improved local mean decomposition (ILMD) BP neural network is proposed. ILMD used decompose three layers, product function (PF) component with amplitude-frequency information of obtained. The energy value constructed by PF as input classify signal. Experiments four typical signals show that classifiers networks have high accuracy good working efficiency for recognition...
Abstract In this research, a novel position trajectory tracking control architecture has been constructed for an underactuated quadrotor unmanned aerial vehicle (UAV) with uncertainties and disturbances. Primarily, we divide the whole dynamic system into subsystem fully-actuated attitude subsystem. For subsystem, have transformed it by constructing virtual PD controller, controller can render error asymptotically stable. Besides, based on designed UAV, desired attitudes, i.e. roll, pitch yaw...