在不确定性的环境中,网络攻击行为是“全人视域”下大学生心理健康发展急需关注的课题。补偿性控制理论认为个体控制感是人类基本的心理需求之一,控制感对个体的生存和发展有着重要意义,若原本由自己掌控的生活被打乱,甚至自身安全遭受...在不确定性的环境中,网络攻击行为是“全人视域”下大学生心理健康发展急需关注的课题。补偿性控制理论认为个体控制感是人类基本的心理需求之一,控制感对个体的生存和发展有着重要意义,若原本由自己掌控的生活被打乱,甚至自身安全遭受威胁,个体将陷入失衡、失控的状态中。对此,个体会表现出对具有秩序性、确定性以及可预测性的事物的偏好,通过多种途径来“补偿”内在的“失控”,重建“平衡”,实现补偿性控制。该理论对于大学生网络攻击行为具有较强的解释力,并为如何应对提供了较好的指导框架。围绕由“X大学取消毕业典礼”引发的网络攻击事件,对11名该校大学生进行半结构化访谈。通过协商一致的质性研究(CQR)对文本资料进行分析发现,造成网络攻击行为的因素为外部环境、重要事件、沟通模式、特殊群体四个方面;本文在补偿性控制理论的视角下,从内在秩序、因果秩序、信息秩序等方面去探讨该事件发生的原因及机制,并建立应对网络攻击事件的框架方案,以支持高校及其他各类社会组织有效开展学生工作。In an uncertain environment, cyber attacks are an urgent topic for the mental health development of college students from a “holistic perspective”. Compensatory control theory believes that individual control is one of the basic psychological needs of human beings, and that control is of great significance to the survival and development of individuals. If an individual’s life, originally under their own control, is disrupted, and even their personal safety is threatened, the individual will fall into a state of imbalance and loss of control. In this regard, individuals will show a preference for things that are orderly, certain, and predictable, and use a variety of ways to “compensate” for the internal “loss of control”, rebuild the “balance”, and achieve compensatory control. This theory has a strong explanatory power for college students’ cyber attack behavior, and provides a good guiding framework for how to deal with it. Semi-structured interviews were conducted with 11 university students in connection with the cyberattack triggered by the cancellation of the graduation ceremony of X University. The analysis of textual data using Consensual Qualitative Research (CQR) revealed that the factors contributing to cyber-attacks include four key aspects: external environment, significant events, communication patterns, and specific groups. From the perspective of compensatory control theory, this paper explores the causes and mechanisms of cyber attacks from the aspects of internal order, causal order and information order, and establishes a framework scheme to deal with cyber attacks, so as to support universities and other social organizations to effectively carry out student work.展开更多
对于电动静液作动器(Electro-Hydrostatic Actuator,EHA),传统扰动主动补偿控制方法(Active Disturbance Compensation Control Method,ADCM)存在扩张状态观测器(Extended State Obsever,ESO)对噪声敏感、控制器设计需要作动加速度信息...对于电动静液作动器(Electro-Hydrostatic Actuator,EHA),传统扰动主动补偿控制方法(Active Disturbance Compensation Control Method,ADCM)存在扩张状态观测器(Extended State Obsever,ESO)对噪声敏感、控制器设计需要作动加速度信息的问题。针对以上问题,首先利用奇异摄动理论对EHA数学模型进行合理降阶,然后设计了一种基于滤波估计器(Filter Estimator,FE)的串级扰动估计器。此外,在控制器中加入阻尼自适应函数,设计了阻尼自适应扰动主动补偿控制器(FE-AD-ADCM),从而提高了系统的位置跟踪性能。最后,利用MATLAB/Simulink和Simcenter/AMESim联合仿真平台将该方法分别与传统PI和ADCM控制器进行了详细的仿真对比分析。仿真结果表明,提出的FE-AD-ADCM能有效提升EHA位置跟踪性能和对扰动的估计精度。展开更多
电动助力转向(electric power steering,EPS)系统具有非线性和时变性,采用常系数补偿无法实现对转矩的准确跟踪,影响驾驶员手感。文章采用滑模控制器准确跟踪电流,并设计补偿算法,利用带遗忘因子的递推最小二乘(recursive least squares...电动助力转向(electric power steering,EPS)系统具有非线性和时变性,采用常系数补偿无法实现对转矩的准确跟踪,影响驾驶员手感。文章采用滑模控制器准确跟踪电流,并设计补偿算法,利用带遗忘因子的递推最小二乘(recursive least squares,RLS)算法对助力装置进行在线参数辨识,并将辨识得到的结果进行补偿控制,在参数缓慢变化的条件下实现EPS对转矩的准确跟踪。展开更多
文摘在下肢康复机器人的康复训练过程中,模型参数、环境干扰等不确定性因素会影响机器人轨迹跟踪的精度。针对这一问题,提出了一种基于径向基函数(Radial Basis Function,RBF)神经网络的自适应补偿控制,该控制方法能够提高机械系统轨迹跟踪的精确性。首先,设计一款具有4种工作模式、运动稳定的闭链卧式下肢康复机器人结构;然后,利用拉格朗日方法求解动力学名义模型,将康复装置的模型参数以及外界干扰等不确定性因素分离出来,并设计基于RBF神经网络的自适应补偿算法对其进行逼近控制;最后,通过Matlab/Simulink环境对其进行仿真验证,证明了该控制策略的有效性。结果显示,在人体步态曲线轨迹跟踪中,提出的基于RBF神经网络的自适应补偿算法相比传统的模糊比例-积分-微分(Proportional Integral Derivative,PID)控制的方法响应速度快、跟踪效果好,且髋关节和膝关节轨迹跟踪的角度误差峰值分别为0.08°和0.13°,远小于患者下肢在康复运动中的转动角度。设计了单腿样机试验,试验结果表明,采用的RBF补偿自适应控制器能够实现高精度的跟踪结果,也能够满足患者在康复训练中安全性的要求。
文摘在不确定性的环境中,网络攻击行为是“全人视域”下大学生心理健康发展急需关注的课题。补偿性控制理论认为个体控制感是人类基本的心理需求之一,控制感对个体的生存和发展有着重要意义,若原本由自己掌控的生活被打乱,甚至自身安全遭受威胁,个体将陷入失衡、失控的状态中。对此,个体会表现出对具有秩序性、确定性以及可预测性的事物的偏好,通过多种途径来“补偿”内在的“失控”,重建“平衡”,实现补偿性控制。该理论对于大学生网络攻击行为具有较强的解释力,并为如何应对提供了较好的指导框架。围绕由“X大学取消毕业典礼”引发的网络攻击事件,对11名该校大学生进行半结构化访谈。通过协商一致的质性研究(CQR)对文本资料进行分析发现,造成网络攻击行为的因素为外部环境、重要事件、沟通模式、特殊群体四个方面;本文在补偿性控制理论的视角下,从内在秩序、因果秩序、信息秩序等方面去探讨该事件发生的原因及机制,并建立应对网络攻击事件的框架方案,以支持高校及其他各类社会组织有效开展学生工作。In an uncertain environment, cyber attacks are an urgent topic for the mental health development of college students from a “holistic perspective”. Compensatory control theory believes that individual control is one of the basic psychological needs of human beings, and that control is of great significance to the survival and development of individuals. If an individual’s life, originally under their own control, is disrupted, and even their personal safety is threatened, the individual will fall into a state of imbalance and loss of control. In this regard, individuals will show a preference for things that are orderly, certain, and predictable, and use a variety of ways to “compensate” for the internal “loss of control”, rebuild the “balance”, and achieve compensatory control. This theory has a strong explanatory power for college students’ cyber attack behavior, and provides a good guiding framework for how to deal with it. Semi-structured interviews were conducted with 11 university students in connection with the cyberattack triggered by the cancellation of the graduation ceremony of X University. The analysis of textual data using Consensual Qualitative Research (CQR) revealed that the factors contributing to cyber-attacks include four key aspects: external environment, significant events, communication patterns, and specific groups. From the perspective of compensatory control theory, this paper explores the causes and mechanisms of cyber attacks from the aspects of internal order, causal order and information order, and establishes a framework scheme to deal with cyber attacks, so as to support universities and other social organizations to effectively carry out student work.
文摘对于电动静液作动器(Electro-Hydrostatic Actuator,EHA),传统扰动主动补偿控制方法(Active Disturbance Compensation Control Method,ADCM)存在扩张状态观测器(Extended State Obsever,ESO)对噪声敏感、控制器设计需要作动加速度信息的问题。针对以上问题,首先利用奇异摄动理论对EHA数学模型进行合理降阶,然后设计了一种基于滤波估计器(Filter Estimator,FE)的串级扰动估计器。此外,在控制器中加入阻尼自适应函数,设计了阻尼自适应扰动主动补偿控制器(FE-AD-ADCM),从而提高了系统的位置跟踪性能。最后,利用MATLAB/Simulink和Simcenter/AMESim联合仿真平台将该方法分别与传统PI和ADCM控制器进行了详细的仿真对比分析。仿真结果表明,提出的FE-AD-ADCM能有效提升EHA位置跟踪性能和对扰动的估计精度。
文摘电动助力转向(electric power steering,EPS)系统具有非线性和时变性,采用常系数补偿无法实现对转矩的准确跟踪,影响驾驶员手感。文章采用滑模控制器准确跟踪电流,并设计补偿算法,利用带遗忘因子的递推最小二乘(recursive least squares,RLS)算法对助力装置进行在线参数辨识,并将辨识得到的结果进行补偿控制,在参数缓慢变化的条件下实现EPS对转矩的准确跟踪。
