A5024394762- Distributed Control Multi-Agent Systems
- Carbon Nanotubes in Composites
- Muscle activation and electromyography studies
- Thermal properties of materials
- Prosthetics and Rehabilitation Robotics
- Gyrotron and Vacuum Electronics Research
- Advanced Materials and Mechanics
- Advanced Sensor and Energy Harvesting Materials
- Particle Accelerators and Free-Electron Lasers
- Stroke Rehabilitation and Recovery
- Neural Networks Stability and Synchronization
- Particle accelerators and beam dynamics
- Adaptive Control of Nonlinear Systems
- Telomeres, Telomerase, and Senescence
- Laser Design and Applications
- Energy Efficient Wireless Sensor Networks
- Advanced MIMO Systems Optimization
- Childhood Cancer Survivors' Quality of Life
- Advanced Wireless Network Optimization
- Wireless Communication Networks Research
- Material Properties and Applications
- Color perception and design
- Cooperative Communication and Network Coding
- Modular Robots and Swarm Intelligence
- Multisensory perception and integration
Shenyang Aerospace University
2021-2025
Bengbu Medical College
2025
University of Manchester
2015-2024
University of Leeds
2019-2024
Xi'an Jiaotong University
2019-2024
Binzhou Medical University
2021-2024
Binzhou University
2021-2024
Fujian Normal University
2023-2024
Schweizerisches Universitäres Institut für Traditionelle Chinesische Medizin
2024
Beihang University
2024
Spatial and temporal variations of pressure, temperature, water vapor content in the atmosphere introduce significant confounding delays interferometric synthetic aperture radar (InSAR) observations ground deformation bias estimates regional strain rates. Producing robust tropospheric remains one key challenges increasing accuracy measurements using InSAR. Recent studies revealed efficiency global atmospheric reanalysis to mitigate impact delays, motivating further exploration their...
This note considers the distributed optimization problem on directed graphs with nonconvex local objective functions and unknown network connectivity. A new adaptive algorithm is proposed to minimize a differentiable global function. By introducing dynamic coupling gains updating using relative information of system states, nonconvexity functions, connectivity, uncertain dynamics caused by locally Lipschitz gradients are tackled concurrently. Consequently, asymptotic convergence established...
This paper studies the problem of bearing-only formation control multiagent systems, where each agent merely relies on relative bearings to its neighbors. Although this has received increasing research attention recently, it is still unsolved a large extent due highly nonlinear dynamics. In particular, existing approaches are only able solve simplest scenario target stationary and modeled as single integrator. The main contribution propose new laws 1) track moving formations 2) handle...
Musculoskeletal models have been widely used for detailed biomechanical analysis to characterise various functional impairments given their ability estimate movement variables (i.e., muscle forces and joint moments) which cannot be readily measured in vivo. Physics-based computational neuromusculoskeletal can interpret the dynamic interaction between neural drive muscles, dynamics, body kinematics kinetics. Still, such set of solutions suffers from slowness, especially complex models,...
This note considers the distributed optimal coordination (DOC) problem for heterogeneous linear multiagent systems. The local gradients are locally Lipschitz and convexity constants unknown. A control law is proposed to drive states of all agents that minimizes a global objective function. By exploring certain features invariant projection Laplacian matrix, asymptotic convergence guaranteed utilizing only interaction. then extended with event-triggered communication schemes, which removes...
Multi-agent formation control is an important part of distributed perception and cooperation, which convenient to complete various complex tasks would be a key research direction in the future. This paper reviews corresponding problems existing centralized strategies. In particular, we discuss four types methods based on position displacement global coordinate system distance bearing nonglobal system, respectively. Moreover, this analyzes affine does not require system. Combined with current...
Abstract The purpose of this study is to test whether consumers' personal colour preferences (in an abstract sense rather than for a particular product) affect their intended product purchase decisions if they are given various choices. This work employs two experiments with visual components investigate which participant would choose asked select when there range colours available. Two were also designed elicit response about each prefers sense). finds that product‐colour but the extent...
EMG-based continuous wrist joint motion estimation has been identified as a promising technique with huge potential in assistive robots. Conventional data-driven model-free methods tend to establish the relationship between EMG signal and using machine learning or deep techniques, but cannot interpret functional neuro-commands relevant motion. In this paper, an EMG-driven musculoskeletal model is proposed estimate This interprets muscle activation levels from signals. A muscle-tendon...
Mounting evidence supports the occurrence of accelerating aging among long-term survivors childhood cancer. We aimed to investigate epigenetic age acceleration (EAA) in and evaluate associations between EAA, treatment exposures, health behaviors, chronic conditions (CHCs).Genome-wide methylation data were generated with Infinium EPIC BeadChip on blood-derived DNA from 2139 282 frequency matched controls St Jude Lifetime Cohort Study. EAAs estimated as residuals a linear regression (Levine's...
This article considers the bearing-only formation control problem, where of each agent only relies on relative bearings their neighbors. A new law is proposed to achieve target formations in finite time. Different from existing results, based a time-varying scaling gain. Hence, convergence time can be arbitrarily chosen by users, and derivative input continuous. Furthermore, sufficient conditions are given guarantee almost global interagent collision avoidance. Then, leader-follower...
This article proposes a lightweight variable stiffness actuator (LVSA) driven by novel mechanism with four sliders on shared crank (FS2C). The FS2C allows the LVSA to simultaneously regulate preload of springs using only one motor and hence achieves wider-range continuous adaption reduced weight. A cable transmission system is developed remotely place motors further reduce influence mass distribution. dynamics model established study torque-deflection stiffness-deflection relations. Based...
The optimization of crop harvesting processes for commonly cultivated crops is great importance in the aim agricultural industrialization. Nowadays, utilization machine vision has enabled automated identification crops, leading to enhancement efficiency, but challenges still exist. This study presents a new framework that combines two separate architectures Convolutional Neural Networks (CNNs) order simultaneously accomplish tasks detection and (robotic manipulation) inside simulated...
Optimized lightweight, compact and high temperature sustaining shielding materials for neutron gamma radiation were developed by genetic algorithms (GA) combined with the Monte Carlo N-Particle (MCNP) code. A series of samples designed according to method. Deep penetration tests MCNP code completed. The results show that have more advantages related effects in comparison PB202 KRAFTON-XP3, especially Cakes multi-layers structures Fe-interlayer-Pb excellent performance. Taking into account...
In the cooperative simultaneous arrival problem, a group of interceptors are guided to simultaneously engage stationary target. However, some may not follow prescribed guidance law during engagement, which can lead interception failures. This brief investigates new robust problem in presence misbehaving interceptors. A (RCGL) integrated with local filtering algorithm is designed. Without knowledge faulty (no fault diagnosis procedure needed), RCGL achieves between normal if misbehavior be...
In this paper, to reduce required capacities for information exchanges in microgrids, a novel distributed event-based algorithm is proposed optimal energy management microgrid. Aiming at optimally scheduling the supplier's generation, an objective function formulated minimize total cost of maintaining supply-demand balance with considering power losses. Regarding each participant as agent, implemented manner based on multiagent system framework. Therefore, agent only its neighbors through...
Abstract Multiple strain sensors are required to identify individual forces/stresses on human joints and recognize how they work together in order determine the motion’s direction trajectory. However, current cannot detect differentiate their contributions motion from sensors’ electrical signals. To address this critical issue, we propose a concept of unimodal tension, bend, shear, twist with piezoelectric poly L-lactic acid films. We then construct an integrated sensor (i-US) using prove...