Yuan Lin

ORCID: 0000-0002-8275-9306
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About
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Research Areas
  • Iterative Learning Control Systems
  • Piezoelectric Actuators and Control
  • Stability and Control of Uncertain Systems
  • Multi-Agent Systems and Negotiation
  • Nutritional Studies and Diet
  • Optical measurement and interference techniques
  • Control and Dynamics of Mobile Robots
  • Topic Modeling
  • Geological formations and processes
  • Advanced DC-DC Converters
  • Geotechnical and Geomechanical Engineering
  • Biomedical Text Mining and Ontologies
  • Advanced Vision and Imaging
  • Robotic Path Planning Algorithms
  • Frailty in Older Adults
  • Industrial Technology and Control Systems
  • High-Voltage Power Transmission Systems
  • Nutrition and Health in Aging
  • Advanced Surface Polishing Techniques
  • Magnetic Bearings and Levitation Dynamics
  • HVDC Systems and Fault Protection
  • Landslides and related hazards
  • Semantic Web and Ontologies
  • Soil erosion and sediment transport
  • Hydraulic Fracturing and Reservoir Analysis

First Affiliated Hospital of Fujian Medical University
2025

Fujian Medical University
2025

Ocean University of China
2024

Daqing Oilfield of CNPC
2024

Guangxi Medical University
2024

Hainan University
2024

Daqing Oilfield General Hospital
2024

Dalian University of Technology
2015

Shenyang University of Technology
2007-2012

Nanchang University
2010

Orthopedic implants with high elastic modulus often suffer from poor osseointegration due to stress shielding, a phenomenon that suppresses the expression of intracellular mechanotransduction molecules (IMM) such as focal adhesion kinase (FAK). We find reduced FAK under shielding is also mediated by decreased calcitonin gene-related peptide (CGRP) released Piezo2+ mechanosensitive nerves surrounding implant. To activate these minimally invasively, we develop fully implantable, wirelessly...

10.1038/s41467-025-58336-x article EN cc-by-nc-nd Nature Communications 2025-03-31

We introduce a novel framework of LLM agents named AGILE (AGent that Interacts and Learns from Environments) designed to perform complex conversational tasks with users, leveraging LLMs, memory, tools, interactions experts. The agent's abilities include not only conversation but also reflection, utilization consultation formulate the construction such an agent as reinforcement learning problem, in which serves policy model. fine-tune using labeled data actions PPO algorithm. focus on...

10.48550/arxiv.2405.14751 preprint EN arXiv (Cornell University) 2024-05-23

Sub-pixel displacement measurement in Digital Image Correlation (DIC) is an optimization problem search of a point the deformed image where has maximum correlation coefficient value to reference image. Particle Swarm Optimization (PSO) novel swarm intelligence algorithm which great prospect multidimensional nonlinear because its advantages high convergence rate, global effectiveness, robustness and having few parameters. In this paper, PSO first applied into DIC get sub-pixel fields with our...

10.1109/icina.2010.5636461 article EN 2010-10-01

This paper focuses on adaptive velocity compensation along state axis aiming at dent and friction force ripples using parameterized iterative learning control (ILC) for permanent magnet linear synchronous motor (PMLSM) executing same instruction repeatedly. Velocity are primarily attributed to periodic disturbances such as the gliding in PMLSM. The consists of end effect cogging forces. key idea this disturbance method is use past information one trajectory period update current adaptation...

10.1109/icit.2009.4939644 article EN 2009-02-01

Iterative learning control (ILC) algorithm using wavelet approximation is adopted to improve trajectory-tracking performance of permanent magnet linear synchronous motors (PMLSM). The approximates the unknown nonlinearities PMLSM by transform whose approximated coefficients are iteratively adjusted learning. sliding mode variable structure strategy with dead zone ensure robust convergence. simulation results show that errors between actual and optimal monotonically decreased iterations....

10.1109/icems12746.2007.4412036 article EN 2007-10-01

Research articles in biomedicine domain have increased exponentially, which makes it more and difficult for biologists to manually capture all the information they need. Information retrieval technologies can help obtain users' needed automatically. However, is a great challenge apply these directly because of some specific characteristics, such as abundance terminologies. To enhance effectiveness biomedical retrieval, we propose novel framework based on state-of-the-art methods, called...

10.1109/bibm.2015.7359729 article EN 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2015-11-01

VSC-Multi-Terminal Direct Current(VSC-MTDC) system is much more controllable and economic. In this paper, the mathematical model for VSC-MTDC set up. Base on model, multi-terminal constant DC voltage control scheme with an offset component was developed MTDC in distribute network. Decoupling linear PI controllers are applied independent of active reactive power. Constant AC controller implemented respectively source side loads high quality power supply. Simulation results show that very...

10.4028/www.scientific.net/amr.516-517.1453 article EN Advanced materials research 2012-05-01

This paper presents a two-order A-type iterative learning control (ILC) scheme along time axis using switching (SW) Q-filter to restrain periodic force ripples of permanent magnet linear synchronous motor (PMLSM). The purpose employing the time-varying SW is utilize enhanced robustness given by low bandwidth filter, while taking advantage superior properties high where needed. Simulations are provided demonstrate benefits proposed position scheme. In addition, stability and convergence...

10.1109/icma.2009.5246258 article EN International Conference on Mechatronics and Automation 2009-08-01
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