背景:血流限制训练作为一种新兴训练方式,可有效增加肌肉力量和容积、提高肌肉功能,为运动干预功能障碍提供一种新途径。而该领域目前从机制到应用存在诸多争议。目的:探究近年来血流限制训练应用的研究热点与主要内容,为该领域未来研...背景:血流限制训练作为一种新兴训练方式,可有效增加肌肉力量和容积、提高肌肉功能,为运动干预功能障碍提供一种新途径。而该领域目前从机制到应用存在诸多争议。目的:探究近年来血流限制训练应用的研究热点与主要内容,为该领域未来研究发展提供新的思路和方向。方法:运用CiteSpace 5.6.R3软件对Web of Science核心合集数据库中2009至2019年有关血流限制训练的441篇文献进行可视化分析,综合图谱和数据结果,结合关键文献分析研究热点。结果与结论:①血流限制训练研究自21世纪以来呈上升趋势,主要以美国、日本及其机构发表成果较多且影响力较高;②研究主题发展趋势逐渐从对局部组织器官的影响向对身体机能影响发展,从普通人群训练应用向特殊人群干预治疗发展;③热点关键词为血流限制、力量、骨骼肌、肌肥大、生长激素和适应,研究热点主要内容包括不同生理适应机制、训练方法学影响变量、功能障碍人群康复应用及心血管循环功能影响等;④低负荷血流限制训练作为一种运动干预的有效方法,逐渐被应用在骨骼肌肉、心血管、代谢及神经疾病的临床治疗或康复干预中,未来研究可围绕血流限制训练长期运动效益、运动生理适应机制、不同人群应用效果、训练方法安全性等内容发展。展开更多
Spaceborne optomechanical systems face the dual challenges of extreme thermal disturbances and millikelvin-level temperature control precision during orbital operations,demanding robust control strategies.To address t...Spaceborne optomechanical systems face the dual challenges of extreme thermal disturbances and millikelvin-level temperature control precision during orbital operations,demanding robust control strategies.To address the performance limitations of conventional fixed-parameter active disturbance rejection control(ADRC)under complex operating conditions,this work proposes a Qlearning-enhanced adaptive ADRC framework.A thermal-transfer model incorporating multisource disturbances(solar radiation,structural conduction,and contact thermal resistance)is established,coupled with a reinforcement learning-driven parameter optimization mechanism.The ε-greedy policy dynamically adjusts observer bandwidth(ω_(o)∈[0.01,0.2])and controller bandwidth(ω_(c)∈[0.01,0.1])to enable real-time estimation and compensation of total disturbances.Simulation results demonstrate significant improvements over fixed-parameter ADRC and a self-tuning internal model control proportional-integral(SIMC-PI)controller:31.3% and 15.4% reduction in settling time during setpoint responses,respectively;21.8% lower integral absolute error(IAE)than the fixed-parameter ADRC during setpoint step responses;12.7% and 52.5% enhancement in control precision over conventional fixed-parameter and SIMC-PI controllers,respectively,under±10 K periodic and step thermal disturbances.Monte Carlo robustness tests reveal smaller fluctuation ranges of IAE,settling time,and overshoot under±5% parameter perturbations.This methodology establishes a new paradigm for millikelvin-level thermal control in space optical payloads.展开更多
文摘背景:血流限制训练作为一种新兴训练方式,可有效增加肌肉力量和容积、提高肌肉功能,为运动干预功能障碍提供一种新途径。而该领域目前从机制到应用存在诸多争议。目的:探究近年来血流限制训练应用的研究热点与主要内容,为该领域未来研究发展提供新的思路和方向。方法:运用CiteSpace 5.6.R3软件对Web of Science核心合集数据库中2009至2019年有关血流限制训练的441篇文献进行可视化分析,综合图谱和数据结果,结合关键文献分析研究热点。结果与结论:①血流限制训练研究自21世纪以来呈上升趋势,主要以美国、日本及其机构发表成果较多且影响力较高;②研究主题发展趋势逐渐从对局部组织器官的影响向对身体机能影响发展,从普通人群训练应用向特殊人群干预治疗发展;③热点关键词为血流限制、力量、骨骼肌、肌肥大、生长激素和适应,研究热点主要内容包括不同生理适应机制、训练方法学影响变量、功能障碍人群康复应用及心血管循环功能影响等;④低负荷血流限制训练作为一种运动干预的有效方法,逐渐被应用在骨骼肌肉、心血管、代谢及神经疾病的临床治疗或康复干预中,未来研究可围绕血流限制训练长期运动效益、运动生理适应机制、不同人群应用效果、训练方法安全性等内容发展。
基金The National Key R&D Program of China(No.2022YFB3902902)the National Natural Science Foundation of China(No.52276003).
文摘Spaceborne optomechanical systems face the dual challenges of extreme thermal disturbances and millikelvin-level temperature control precision during orbital operations,demanding robust control strategies.To address the performance limitations of conventional fixed-parameter active disturbance rejection control(ADRC)under complex operating conditions,this work proposes a Qlearning-enhanced adaptive ADRC framework.A thermal-transfer model incorporating multisource disturbances(solar radiation,structural conduction,and contact thermal resistance)is established,coupled with a reinforcement learning-driven parameter optimization mechanism.The ε-greedy policy dynamically adjusts observer bandwidth(ω_(o)∈[0.01,0.2])and controller bandwidth(ω_(c)∈[0.01,0.1])to enable real-time estimation and compensation of total disturbances.Simulation results demonstrate significant improvements over fixed-parameter ADRC and a self-tuning internal model control proportional-integral(SIMC-PI)controller:31.3% and 15.4% reduction in settling time during setpoint responses,respectively;21.8% lower integral absolute error(IAE)than the fixed-parameter ADRC during setpoint step responses;12.7% and 52.5% enhancement in control precision over conventional fixed-parameter and SIMC-PI controllers,respectively,under±10 K periodic and step thermal disturbances.Monte Carlo robustness tests reveal smaller fluctuation ranges of IAE,settling time,and overshoot under±5% parameter perturbations.This methodology establishes a new paradigm for millikelvin-level thermal control in space optical payloads.
