Research of the Control Domain of Edges in Regression Testing

Regression testing is the process of validating modified software to provide confidence that the changed parts of the software behave as intended and that the unchanged parts have not been adversely affected by the modifications. The goal of regression testing is to reduce the test suit by testing the new characters and the modified parts of a program with the original test suit. Regression testing is a high cost testing method. This paper presents a regression testing selection technique that can reduce the test suit on the basis of Control Flow Graph (CFG). It import the inherit strategy of object-oriented language to ensure an edge’s control domain to reduce the test suit size effectively. We implement the idea by coding the edge. An algorithm is also presented at last.

Multi-agent coordination strategy estimation method based on control domain

For estimation group competition and multiagent coordination strategy, this paper introduces a notion based on multiagent group. According to the control domain, it analyzes the multiagent strategy during competition in the macroscopic. It has been adopted in robot soccer and result enunciates that our method does not depend on competition result. It can objectively quantitatively estimate coordination strategy.

Community capacity for sustainable community—based dengue prevention and control:domain,assessment tool and capacity building model

In order to understand the community capacity for sustainable community-based dengue prevention and control,this paper proposes the approach of a previous study about meaning and domains of dengue prevention and control,an assessment tool and a community capacity building model for sustainable community-based dengue prevention and control in the Southern Thailand. A study of dengue community capacity domains was conducted by utilizing a qualitative method, whereby ten initial community domains were identified by means of a literature review,in-depth interviews of sixty community leaders,and eight focus group discussions with sixty non-leaders in four sub-districts of southern Thailand.In the final study,there were 14 identifiable domains in leaders group and 11 domains in non-leaders.The resulting dengue community capacity-assessment tool(DCCAT) consisted of two parts:one for leaders(DCCAT-L) and the other for non-leaders (DCCAT-NL).DCCAT-L was composed of 115 items within 14 domains and 83 items within 11 domains for the DCCAT-NL.The key domains of leaders and non-leaders had a partial overlap of domains such as critical situation management,personal leadership,health care provider capacity,needs assessment,senses of community,leader group networking,communication of dengue information,community leadership,religious capacity,leader group and community networking,resource mobilization,dengue working group,community participation,and continuing activities.The application of the new tool consisted of five steps:1) community preparation,2) assessment,3) a community hearing meeting,4) interventions,and 5) conclusion and improvement step.All stakeholders in the community should use the new tool based on a clear understanding of the measurement objectives,the desired outcomes,resources available and characteristics of their community.If communities need to develop and build dengue community capacity,then the designed pre-post intervention assessments or serial assessments are essential.

A distributed role-based access control model for multi-domain environments

Access control in multi-domain environments is an important question in building coalition between domains. Based on the RBAC access control model and the concepts of secure domain, the role delegation and role mapping are proposed, which support the third-party authorization. A distributed RBAC model is then presented. Finally implementation issues are discussed.

Centralized Role-Based Access Control for Federated Multi-Domain Environments

The secure interaction among multiple security domains is a major concern. In this paper, we highlight the issues of secure interoperability among multiple security domains operating under the widely accepted Role Based Access Control （RBAC） model. We propose a model called CRBAC that easily establishes a global policy for roles mapping among multiple security domains. Our model is based on an extension of the RBAC model. Also, multiple security domains were composed to one abstract security domain. Also roles in the multiple domains are translated to permissions of roles in the abstract security domain. These permissions keep theirs hierarchies. The roles in the abstract security domain implement roles mapping among the multiple security domains. Then, authorized users of any security domain can transparently access resources in the multiple domains.

An approximation for the boundary optimal control problem of a heat equation defined in a variable domain

In this paper, we consider a numerical approximation for the boundary optimal control problem with the control constraint governed by a heat equation defined in a variable domain. For this variable domain problem, the boundary of the domain is moving and the shape of theboundary is defined by a known time-dependent function. By making use of the Galerkin finite element method, we first project the original optimal control problem into a semi-discrete optimal control problem governed by a system of ordinary differential equations. Then, based on the aforementioned semi-discrete problem, we apply the control parameterization method to obtain an optimal parameter selection problem governed by a lumped parameter system, which can be solved as a nonlinear optimization problem by a Sequential Quadratic Programming （SQP） algorithm. The numerical simulation is given to illustrate the effectiveness of our numerical approximation for the variable domain problem with the finite element method and the control parameterization method.

Confidence domain in the stochastic competition chemostat model with feedback control

This paper studies a stochastically forced chemostat model with feedback control in which two organisms compete for a single growth-limiting substrate. In the deterministic counterpart, previous researches show that the coexistence of two competing organisms may be achieved as a stable positive equilibrium or a stable positive periodic solution by different feedback schedules. In the stochastic case, based on the stochastic sensitivity function technique,we construct the confidence domains for different feedback schedules which allow us to find the configurational arrangements of the stochastic attractors and analyze the dispersion of the random states of the stochastic model.

模型信息联合校正型自抗扰控制策略

为解决微电网受到不确定扰动时,会对直-直变换器输出的电能质量产生严重影响的问题,该文提出一种模型信息联合校正型自抗扰控制技术(ADRC-MIR)。在该控制策略中,首先借助串联超前校正的思想,以比例微分校正环节对线性扩张状态观测器的扰动观测传递函数进行修正,使其可实现对总和扰动更精确的跟踪;然后,根据状态空间平均法从被控系统中提取部分模型信息,将其写入修正后的线性扩张状态观测器的系数矩阵并最终构建出ADRC-MIR;随后基于理论推导,给出改进控制器的参数整定公式及其物理意义,并从噪声抑制、扰动抑制及其频域特性等方面指出改进后的控制器可提升控制品质的原因。最后通过对比不同工况下的数值仿真验证所提控制策略的可行性与正确性。

Role of Time-Domain Based Access Control Model

While Role-Based Access Control Model (RBAC) is being analyzed, the concept of Role of Time-domain Based Access Control Model (T-RBAC) is put forward. With time-domain added, both time-domain and authority control roles. The basic idea of T-RBAC is introduced and described formally, and the safely of this model is analyzed. The research shows that T-RBAC fulfills both rules of information security, which are principle of least privilege and separation of duties. With practical application of T-RBCA, it can handle most of the time-related or authority-related problems. What’s more, it also increases the security level, flexibility and dynamic adaptation of the system and has lower complexity than system only handled by authority. This model also can solve conflicts caused by authority.

基于数字孪生的桥式起重机自主运行系统研究

为了提高桥式起重机的智能化水平和数字化水平,借助数字孪生技术,对一桥式起重机的安全自主运行系统进行了仿真和实验研究。首先,采用数字孪生思想构建了起重机自主运行系统整体架构,根据桥式起重机的实际运行情况,采用四模型(即虚拟模型、物理动力学模型、行为控制模型和规则计算模型)的方法,构建了起重机的孪生模型;然后,在起重机孪生实验平台上进行了起重机路径规划和大小车轨迹跟踪仿真实验,采用了变论域模糊PID控制器,对起重机大小车轨迹跟踪进行了控制;最后,对该数字孪生系统进行了互联互通实物验证实验。研究结果表明:在起重机数字孪生系统中可以同步进行虚拟仿真和实物实验;在起重机大小车轨迹跟踪实验中,使用所提变论域模糊PID控制方法时,大车跟踪误差在±7 cm内,小车跟踪误差可达±6 cm,表明该控制方法的先进性;同时,该系统初步达成数字孪生技术虚实同步、虚实融合、虚实对照的目标,并且具有良好的三维可视化效果,可为推动机电装备的数字化进程提供一种思路。

快速刀具伺服系统位置域重复控制设计及其数字实现

在非圆零件车削过程中,快速刀具伺服(Fast tool servo,FTS)的运动精度直接影响零件的加工质量.主轴变速加工使得FTS的参考目标信号周期时变而不确定,这对实现其渐近跟踪提出了极大的挑战.本文利用FTS的位置域周期特性,提出一种基于位置域重复控制和时域速度反馈镇定的FTS系统复合控制设计方法,并给出位置域改进型重复控制器(Spatial modified repetitive controller,SMRC)的数字实现算法,实现对时变周期参考目标信号的高精度跟踪.首先,建立包含位置相关时变周期参考目标信号内模的SMRC,并引入位置域相位超前装置对镇定补偿器引起的相位滞后进行补偿,在此基础上构建复合控制律.然后应用小增益定理和算子理论,推导出控制系统的稳定性条件,在保持系统采样频率不变的条件下,应用插值法建立SMRC的数字实现算法,确保位置域重复控制和时域镇定控制器的同步执行.最后,通过仿真验证所设计的FTS控制系统具有满意的时变周期跟踪性能和鲁棒性,并通过与其他位置域重复控制方法的比较,说明所提方法同时具有更好的暂态和稳态性能.

深空探测任务智能规划技术发展综述

围绕深空探测任务发展对飞控组织实施的要求,文章介绍了任务智能规划的内涵,总结当前科技成果转化遇到的挑战,结合前沿技术与工程经验,提出通用规划处理流程,从领域建模、智能求解两个关键环节综述当前技术发展情况。针对未来国家重大航天工程需求,提出对技术发展趋势和研究方向的思考,可以为构建飞控任务智能规划通用平台、提升地面任务决策智能化水平提供参考。

高机动越野平台非线性悬挂特性控制方法

为了提升装备机动能力,基于摆动缸式油气悬挂装置,建立高压气动原理和背压可控的阻尼阀结构,实现刚度和阻尼特性的实时调节。基于单轮悬挂模型开展不同刚度控制方法的振动响应对比分析以及阻尼特性频域不动点推导,提出一种刚度有级调节控制策略和一种频域混合阻尼控制方法,通过单轮悬挂动力学模型验证所提控制方法的有效性,并构建高机动履带车辆动力学模型进行整车仿真分析。在康庄、羊八井、坨里实测路面环境下,采用刚度阻尼联合控制方法的悬挂装置相较于传统被动悬挂的越野速度提升了25%以上,验证了新提出特性控制方法对振动响应抑制的优越性,能够为悬挂装置实现弹性与阻尼双特性自适应调节提供支撑。

基于变论域模糊PID的金属热处理过程温度控制方法

为高效且安全地提取金属合金内的可用材质并分析其性能,利用变论域模糊PID技术,实现对热处理过程的温度控制。设定在金属规则状态不变的情况下,论域会随着偏差的缩减出现伸缩,即需要增添新的规则。若偏差率能够支持模糊量化取整,控制器的伸缩因子可能会陷入无法取值的情况。此时,通过二元函数分片双一次插值法计算伸缩因子,在临近分档之间填充新规则,确保伸缩因子取值的连续性。然后,在模糊PID控制过程中加入变论域,依靠控制器实现对金属热处理过程温度的控制。根据实验验证情况可知:该方法有效提高了控制效果,在应用该方法后,缩短了温度控制时间,在100s内就可以是加热温度到达拟定值。

基于主动尾流控制的风电机群协同优化调度

针对机组间尾流效应严重影响风电机组发电效率的问题,提出了风电机组安全偏航约束计算方法、尾流特性混合半机理建模方法以及风电机群多目标协同优化调度方法。基于FAST.FARM平台完善了多自由度可控机组与尾流的动态交互集成仿真环境,对比分析了2台机组串列式排布以及华东地区某海上风电场7台机组实际排布下的协同运行优化性能。结果表明:所建立的集成仿真模型能够合理表征风电机群与空气流场的多领域动态交互特性,所提方法能够有效提升风电机群发电效能,促进经济效益、资源利用和成本控制的均衡优化。

自动控制系统稳定性教学中的思政元素设计

针对传统自动控制原理课程教学的不足,将某型号转子绕线机控制系统引入系统稳定性案例教学课堂。通过对案例的数学建模,分别应用时域分析法中的劳斯判据、赫尔维茨稳定判据,系统输出曲线和频域分析法中的奈奎斯特稳定判据及对数稳定判据分析控制系统的稳定性。课程将思政元素与系统稳定性知识有机融合,引申出“条条大路通罗马”的问题解决思想和引导学生认识社会系统稳定的重要意义及自身责任。

美军联合全域指挥与控制的投资

阐述美军联合全域指挥与控制(JADC2)的概念内涵、当前工作内容以及未来发展方向。结合美国国防部2024财年预算请求及Govini公司研究报告,进一步介绍JADC2支出的核算方法,并系统解析美国在JADC2上的资金投入和市场情况、美军联合全域指挥与控制当前面临的挑战。当前,全球安全环境正在发生飞速变化,局部冲突时有发生,搜集、解析和传递信息以保持决策优势的能力将是主导战争胜负的关键。美国国防部提出JADC2战略,旨在构建一个在战场上可以将各部门互联互通的安全网络,以期实现所有战域之间的充分、实时的信息交换。目前美国通过技术研发、合作演习等方式在各个层面积极推动JADC2的建设,并已取得一定阶段性成果。

基于地形特征时频变换的无人特种车辆速度自适应控制方法

为提高复杂环境下无人特种车辆安全性、自主性及作业能力,面向在崎岖地形下无人特种车辆应用需求,提出一种基于地形特征时频变换的速度自适应控制方法。通过度量地形特征崎岖度、建立崎岖度和车速数学模型,实现无人特种车辆在崎岖地形的自主、自适应车速规划。针对崎岖地形和坡度引起的点云数据失真问题,融合惯性测量单元传感器数据对点云进行补偿,获得了车辆前方地形的精准点云数据;针对可视距离与跟踪精度冲突问题,不同于传统横向曲率计算方式,采用以线到面的方式,将激光雷达纵向剖面点云数据进行时频变换后,在频域内选取次频区域的积分面积作为崎岖度量化值,实现对不同地形下的崎岖度量化;此外,基于上述获得的崎岖度,采用迭代搜索的方式建立速度与崎岖度数学模型,并采用滑动窗口的方式更新崎岖度,实现车速到崎岖度之间的连续映射。以可控震源野外勘探特种车为研究对象,采用上述方法在实际野外地形环境中进行多次实验。实验结果表明,所提出的方法在崎岖地形具有良好的安全性、自主性,可以识别地形和自适应控制车速。

磁链分区的磁场增强型永磁电机全速域模型预测直接转矩控制

磁场增强型内置式永磁(flux intensifying interior permanent magnet,FI-IPM)电机的反凸极(L_(q)<L_(d))特性,使得正向d轴电流增强磁场,提高输出转矩的同时,也使得弱磁升速时d轴电流正负交替变化,电流角度变化大,磁链波动大,进而造成转矩脉动大、电流畸变振荡、响应速度慢等问题。针对这些问题,该文提出一种基于磁链分区的磁场增强型内置式永磁电机全速域模型预测直接转矩控制控制策略。根据FI-IPM电机速度运行区域与磁链状态映射关系,构建磁链和转矩预测模型。在此基础上,提出磁链分区控制,引入磁链差值判断增磁和弱磁运行区,并进行磁链补偿,解决不同速度运行域之间切换的震荡和不稳定问题。最后,通过实验验证所提出控制策略的有效性,为该类电机在电驱动系统中的应用提供技术方案。

考虑车辆稳定的避障路径自适应模型预测跟踪

为了提高车辆在稳定行驶前提下的避障路径跟踪控制精度,设计了自适应模型预测路径跟踪控制器和稳定控制器。根据车辆运动特性,建立了车辆在横向和横摆向共三个自由度的车辆动力学方程;基于路径跟踪控制需要,建立了预瞄跟踪控制模型。在避障路径跟踪方面,提出了预测时域随车速和路径曲率自适应变化方法;以提高避障路径跟踪精度和控制量增量最小为优化目标,将路径跟踪控制问题转化为二次型问题,实现了自适应优化求解和时域滚动控制。在车辆行驶稳定方面,从车辆状态的稳定性预判、稳定力矩的计算和分配等方面设计了稳定控制器。经仿真验证,这里的方法能够将车辆状态控制在相平面的双线法稳定区域内,实现了车辆行驶的稳定性和安全性;在避障路径跟踪方面,这里的方法的最大跟踪误差和绝对误差均值远小于传统模型预测控制、文献[14]模糊滑模控制,充分证明了这里的方法在避障路径跟踪控制中的高精度和有效性。