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2022 26th International Conference on System Theory, Control and Computing (ICSTCC)最新文献

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Analysis and Qualitative Observability of Two Vapor Compression Cycle Models 两种蒸汽压缩循环模型的分析与定性可观测性
Pub Date : 2022-10-19 DOI: 10.1109/ICSTCC55426.2022.9931863
Ricus Husmann, H. Aschemann
In this paper, a physically-oriented vapor compression cycle model is analyzed regarding different measures of the degree of observability. The high-dimensional nonlinear model employs pressures and enthalpies as state variables and involves two control inputs. A set of equilibrium points is determined over a grid of both input variables, and corresponding Taylor linearizations are performed. After an analysis of the eigenvalue locations, the observability properties are investigated using two alternative approaches: the first is based on the observability Gramians, the second on a stationary Kalman Filter. The analysis of the Gramians provides a deeper insight into the interconnections of states and individual measured outputs, whereas the Kalman Filter indicates the achievable estimation quality which is related to the variances. Moreover, a direct way to include equality constraints related to the overall mass conservation and its impact on the observability is discussed in detail.
本文从可观测度的不同度量出发,分析了一个面向物理的蒸汽压缩循环模型。高维非线性模型采用压力和焓作为状态变量,并包含两个控制输入。在两个输入变量的网格上确定一组平衡点,并执行相应的泰勒线性化。在分析了特征值的位置后,采用两种方法研究了可观测性性质:第一种方法是基于可观测性格兰量,第二种方法是基于平稳卡尔曼滤波器。gramian的分析提供了对状态和单个测量输出的相互联系的更深入的了解,而Kalman滤波器则表明与方差相关的可实现的估计质量。此外,还详细讨论了包含与整体质量守恒相关的等式约束及其对可观测性的影响的直接方法。
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引用次数: 1
The assessment of class relations importance using enumeration in a graph representation model for key classes detection based on PageRank 基于PageRank的关键类检测的图表示模型中使用枚举来评估类关系的重要性
Pub Date : 2022-10-19 DOI: 10.1109/ICSTCC55426.2022.9931857
Ciprian-Bogdan Chirila, Ioana Sora
Key classes are the most important classes of an object-oriented software system. They are usually described in project documentations or executive summaries representing the backbone of the software system. Key classes are vital in software reengineering tasks especially in the context where poor or no documentation is maintained with the project. Thus, detecting key classes becomes an important issue. Several methods for key classes detection were reported: static code analysis, dynamic code analysis, machine learning. In a static code analysis approach the model of a weighted graph is used to represent the relations between classes like: inheritance, interface realization, field usage, return type usage etc. On the weighted graph model we run a link analysis algorithm to rank the classes in their order of importance, thus detecting the top 20 most important ones. We intend to assess the importance of class relations by generating all possible weights combinations of 0 and 1 for each class relation in the weighted graph construction. We experiment our approach on 14 analyzed systems of different sizes regarding the number of classes and from domains like: games, web servers, utilities, etc.
关键类是面向对象软件系统中最重要的类。它们通常在项目文档或执行摘要中描述,代表软件系统的骨干。关键类在软件再工程任务中是至关重要的,特别是在项目中维护的文档很少或没有文档的情况下。因此,检测密钥类成为一个重要的问题。报告了几种关键类检测方法:静态代码分析,动态代码分析,机器学习。在静态代码分析方法中,加权图模型用于表示类之间的关系,如继承、接口实现、字段使用、返回类型使用等。在加权图模型上,我们运行一个链接分析算法来对类的重要性排序,从而检测出前20个最重要的类。我们打算通过在加权图构造中为每个类关系生成0和1的所有可能的权重组合来评估类关系的重要性。我们在14个不同大小的系统上进行了实验,这些系统涉及的类别数量和领域包括:游戏、web服务器、实用程序等。
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引用次数: 1
Improved Performance for PMSM Control Based on Robust Controller and Reinforcement Learning 基于鲁棒控制器和强化学习的永磁同步电机控制性能改进
Pub Date : 2022-10-19 DOI: 10.1109/ICSTCC55426.2022.9931844
M. Nicola, C. Nicola, C. Ionete, D. Sendrescu, M. Roman
This article presents a Permanent Magnet Synchronous Motor (PMSM) control system which retains its performance for a significant variation of the parameters and load torque which represent disturbance for the control system. Classically, the PMSM control system is built in the form of a Field Oriented Control (FOC) control strategy structure built around PI speed (outer loop) and current (inner loop) controllers. We present the design stages and the numerical simulations performed in Matlab/Simulink, which prove the superiority of the robust control, by comparison with the classic FOC-type control structure. Because the Reinforcement Learning Twin-Delayed Deep Deterministic Policy Gradient (RL-TD3) agent is the most suitable for machine learning for process control, we synthesize a robust controller whose control quantities $boldsymbol{u}_{d}$ and $boldsymbol{u}_{q}$ are adjusted by a properly created and trained RL-TD3 agent. Using this robust combined controller plus RL-TD3 agent, superior performance is achieved in terms of response time and speed ripple.
本文提出了一种永磁同步电机控制系统,该系统在参数和负载转矩的显著变化下仍能保持控制系统的性能。传统的永磁同步电机控制系统以场定向控制(FOC)控制策略结构的形式构建,围绕PI速度(外环)和电流(内环)控制器。给出了设计阶段,并在Matlab/Simulink中进行了数值仿真,与经典的foco型控制结构进行了比较,证明了鲁棒控制的优越性。由于强化学习双延迟深度确定性策略梯度(RL-TD3)智能体最适合用于过程控制的机器学习,我们合成了一个鲁棒控制器,其控制量$boldsymbol{u}_{d}$和$boldsymbol{u}_{q}$由适当创建和训练的RL-TD3智能体调整。使用这种鲁棒组合控制器和RL-TD3代理,在响应时间和速度脉动方面实现了卓越的性能。
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引用次数: 4
Semi-Autonomous System for Lakes and Rivers Depollution 湖泊和河流治理半自治系统
Pub Date : 2022-10-19 DOI: 10.1109/ICSTCC55426.2022.9931869
Ionut Procop, F. Pacuraru, Sandita Pacuaru, R. Șolea, George Cotoc, Adrian Caramatescu
The purpose of this paper is to outline the development of a robust and low-cost semi-autonomous, remotely operated unmanned surface vessel (USV) used as a platform for environmental remediation technologies. By defining the shape as a catamaran, the first practical purpose is to build the collection mechanism in form of a cage to collect floating waste from rivers and lakes - in particular, plastic recipients that accumulate at the surface of the water. The unit was named “GreenCat” deriving from the purpose and the shape. Preliminary hull shape numerical investigation studies enabled carefully managed manufacturing processes resulting in a reduced manufacturing time. Based on hydrodynamic numerical simulations it is suggested that 6 km/h is an optimal travel speed. The electronic equipment was fitted and tested using two different controllers, manoeuvred by using both a radio command and a touch screen. Full-scale tests showed an autonomy of more than 60 minutes on one LiFePO04 - 12.8V-50Ah accumulator. The hull was designed to fit several accumulators making it possible to increase the autonomy to an estimated 8 hours. The data collected from the LiDAR system provided key information for the next level of autonomy, where obstacles can be avoided and the USV can charge automatically in a charging dock.
本文的目的是概述一种强大的、低成本的半自主、远程操作的无人水面船(USV)的发展,它被用作环境修复技术的平台。通过将其定义为双体船的形状,第一个实际目的是建立一个笼子形式的收集机制,以收集来自河流和湖泊的漂浮废物,特别是积聚在水面上的塑料接收器。由于其用途和形状,该单元被命名为“绿色小屋”。初步的船体形状数值调查研究使精心管理的制造过程,从而减少了制造时间。基于水动力数值模拟,提出6 km/h为最佳行驶速度。电子设备安装和测试使用两个不同的控制器,通过无线电指令和触摸屏操纵。全尺寸测试表明,在一个LiFePO04 - 12.8V-50Ah蓄电池上的自主时间超过60分钟。船体被设计成适合几个蓄能器,使其有可能将自主时间增加到估计的8小时。从激光雷达系统收集的数据为下一阶段的自动驾驶提供了关键信息,其中可以避开障碍物,并且USV可以在充电座中自动充电。
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引用次数: 0
Guaranteed SLAM - A pure interval approach 保证SLAM -一个纯间隔方法
Pub Date : 2022-10-19 DOI: 10.1109/ICSTCC55426.2022.9931854
Alexandru Codres, B. Codres, A. Stancu
This paper presents a new Simultaneous Localisation And Mapping (SLAM) method which takes into account all measurements provided by a 2D LiDAR sensor and generates a Constraint Satisfaction Problem (CSP). Interval methods are used to solve the CSP in a guaranteed way. The approach proposed in this paper does not make any assumptions about the probability distribution of the measurements and does not require any probabilistic methods for feature detection. The SLAM problem is solved in a guaranteed way by purely using only interval methods.
本文提出了一种新的同时定位和映射(SLAM)方法,该方法考虑了2D激光雷达传感器提供的所有测量数据,并产生了一个约束满足问题(CSP)。采用区间法对CSP进行求解,保证了CSP的稳定性。本文提出的方法不需要对测量值的概率分布做任何假设,也不需要任何概率方法进行特征检测。仅使用区间方法可以保证地解决SLAM问题。
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引用次数: 0
A Case Study for Designing a Secure Communication Protocol over a Controller Area Network 控制器局域网安全通信协议设计的实例研究
Pub Date : 2022-10-19 DOI: 10.1109/ICSTCC55426.2022.9931790
Adrian Croitoru, F. Stîngă, Marius Marian
This paper presents a case study for designing and implementing a secure communication protocol over a Controller Area Network (CAN). The CAN based protocol uses a hybrid encryption method on a relatively simple hardware / software environment. Moreover, the blockchain technology is proposed as a working solution to provide an extra secure level of the proposed system.
本文介绍了一个在控制器局域网(CAN)上设计和实现安全通信协议的案例研究。基于CAN的协议在相对简单的硬件/软件环境中使用混合加密方法。此外,区块链技术被提议作为一种工作解决方案,为所提议的系统提供额外的安全级别。
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引用次数: 1
Deep Learning-based software application for assisting people with Alzheimer's disease 基于深度学习的软件应用程序,用于帮助患有阿尔茨海默病的人
Pub Date : 2022-10-19 DOI: 10.1109/ICSTCC55426.2022.9931849
Catalina Bejan, D. Munteanu, Nicoleta Munteanu
People with Alzheimer's disease are at risk for malnutrition, overeating and dehydration because short-term memory loss can be confusing. They need a caregiver to make sure they adhere to the main meals of the day and are properly hydrated. The purpose of this paper is to present the need for a developed surveillance system that has the role of regaining their independence through artificial intelligence. The system is based on a unique concept that involves the use of artificial intelligence to recognize human activity in video. The system identifies the times when the monitored person is feeding or hydrating and reminds them by sound messages that they forgot to eat, drink or eat too much. It also allows for the remote supervision and management of the nutrition program by a caregiver. The paper includes the study, search, training and use of models and algorithms specific to the field of computer vision in order to classify images, detect objects in images and recognize human activity in video. The study shows that artificial intelligence used to help people with Alzheimer's is a new concept, but a real help for both them and their caregivers.
患有阿尔茨海默病的人有营养不良、暴饮暴食和脱水的风险,因为短期记忆丧失可能会令人困惑。他们需要一个照顾者,以确保他们坚持一天的主餐和适当的水分。本文的目的是提出需要一个发达的监控系统,其作用是通过人工智能恢复其独立性。该系统基于一个独特的概念,即使用人工智能来识别视频中的人类活动。该系统可以识别被监控者进食或补水的时间,并通过声音提醒他们忘记进食、喝水或吃得太多。它还允许护理人员远程监督和管理营养计划。本文包括研究、搜索、训练和使用特定于计算机视觉领域的模型和算法,以对图像进行分类,检测图像中的物体和识别视频中的人类活动。研究表明,用于帮助阿尔茨海默病患者的人工智能是一个新概念,但对他们和他们的照顾者来说都是一个真正的帮助。
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引用次数: 0
Comparative Study of Predictive Current Control Structures for a Synchronous Reluctance Machine 同步磁阻电机预测电流控制结构的比较研究
Pub Date : 2022-10-19 DOI: 10.1109/ICSTCC55426.2022.9931778
M. Costin, C. Lazar
The synchronous reluctance motor (SynRM), due to its advantages, has been used recently in many applications. In this paper, we propose a comparison of two current control structures for a SynRM based on constrained predictive control algorithms to analyze the performance of each algorithm. The first structure starts from the V -canonical model of the $dq$ current system, and then, using a decoupling controller, two single-input single-output (SISO) decoupled systems result, each being controlled with a SISO constrained predictive control algorithm. The second one uses a multi-input multi-output (MIMO) state-space model of the $dq$ current system for which a constrained MIMO predictive control algorithm is designed. For a better evaluation of the proposed predictive controllers with constraints of the two current control structures, a comparative investigation of these predictive control techniques was performed using the Matlab-Simulink environment. For the performance testing, two scenarios were considered that included both input and output constraints and a set of performance indices.
同步磁阻电动机(SynRM)由于其自身的优点,近年来得到了广泛的应用。在本文中,我们提出了基于约束预测控制算法的SynRM的两种当前控制结构的比较,以分析每种算法的性能。第一个结构从$dq$电流系统的V -规范模型出发,然后使用解耦控制器得到两个单输入单输出(SISO)解耦系统,每个系统都使用SISO约束预测控制算法进行控制。第二部分采用多输入多输出(MIMO)状态空间模型,设计了约束MIMO预测控制算法。为了更好地评估所提出的具有两种当前控制结构约束的预测控制器,使用Matlab-Simulink环境对这些预测控制技术进行了比较研究。对于性能测试,考虑了两种场景,其中包括输入和输出约束以及一组性能指标。
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引用次数: 0
From Pepper's Photographic Lessons to Appointment Application 从佩珀的摄影课程到预约申请
Pub Date : 2022-10-19 DOI: 10.1109/ICSTCC55426.2022.9931823
Bogdan Gabriel Draghici, Alexandra Elena Dobre, Marius Misaros, O. Stan, L. Miclea
The significant evolution of perception over humanoid robots had led to a great development of applications in different areas. The most engaging interactions between humans and robots involve visual and auditive communication which can be achieved using cameras due to their rich sensory information. The main focus of the Pepper robot is to amuse users and make their daily routines better. The objective of the application would be to observe Pepper's behavior in the scenario of a humanoid-robot appointment system and to develop a corresponding optimal approach.
人形机器人的感知能力的显著进化导致了在不同领域的应用的巨大发展。人与机器人之间最引人入胜的互动涉及视觉和听觉交流,由于相机具有丰富的感官信息,因此可以使用相机来实现。Pepper机器人的主要目的是逗用户开心,让他们的日常生活变得更好。应用程序的目标是观察Pepper在人形机器人预约系统场景中的行为,并开发相应的最佳方法。
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引用次数: 0
Complex Autonomous System Assisting a Manufacturing Technology on a Mechatronics Line. A Digital Twin Approach 辅助机电一体化生产线制造技术的复杂自主系统。数字孪生方法
Pub Date : 2022-10-19 DOI: 10.1109/ICSTCC55426.2022.9931812
A. Filipescu, R. Șolea, D. Cernega, D. Ionescu, Georgian Simion, A. Filipescu
The main contribution of this paper is to present the implementation of an assisting technology digital twin based for a processing/reprocessing mechatronics line (P/RML). The implemented technology allows the reprocessing of the workpieces which do not pass the quality test. The digital twin approach considers the P/RML equipped with a complex autonomous system (CAS). The CAS is an autonomous robotic system (ARS) with a robotic manipulator (RM) equipped with a mobile visual servoing system (MVS) used for precise positioning in the technology executed on the laboratory mechatronics line. Modeling and control for the P/RML with CAS are presented. The P/RML has four workstations. The assisting technology uses the complex autonomous system (CAS). The MVS is involved in picking, transporting, and placing processes of the workpieces and it aims at increasing the precision of the RM operations. The reprocessing feature of the system is performed for the processed pieces that do not pass the quality test. To be reprocessed these workpieces are transferred by the CAS to the first station. The control of this complex process is presented. For this flexible manufacturing process, a digital twin control is designed.
本文的主要贡献是提出了一种基于加工/再加工机电一体化线(P/RML)的辅助技术数字孪生的实现。所实施的技术允许对未通过质量检测的工件进行再加工。数字孪生方法认为P/RML配备了一个复杂的自主系统(CAS)。CAS是一种自主机器人系统(ARS),配备了移动视觉伺服系统(MVS)的机器人操纵器(RM),用于在实验室机电一体化生产线上执行的技术中进行精确定位。介绍了基于CAS的P/RML的建模和控制方法。P/RML有四个工作站。辅助技术采用复杂自主系统(CAS)。MVS涉及工件的拣选,运输和放置过程,旨在提高RM操作的精度。系统的再加工功能是对未通过质量测试的加工件进行再加工。待再加工的这些工件由CAS转移到第一个工位。给出了这一复杂过程的控制方法。针对这种柔性制造工艺,设计了数字孪生控制系统。
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引用次数: 0
期刊
2022 26th International Conference on System Theory, Control and Computing (ICSTCC)
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