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共 35064 条记录，以下是281-290 订阅

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A Co-simulation Framework for Communication and control in Autonomous Multi-Robot systems

A Co-simulation Framework for Communication and Control in A...

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ieee/RSJ international conference on intelligent Robots and systems (IROS)

作者： Acharya, Srikrishna Bharatheesha, Mukunda Simmhan, Yogesh Amrutur, Bharadwaj IISc Robert Bosch Ctr Cyber Phys Syst RBCCPS Bangalore Karnataka India IISc AI & Robot Technol Pk ARTPARK RBCCPS Bangalore Karnataka India IISc Fac Dept Computat & Data Sci CDS Bangalore Karnataka India IISc RBCCPS Bangalore Karnataka India IISc Dept ECE Bangalore Karnataka India IISc Dept RBCCPS Bangalore Karnataka India IISc ARTPARK Bangalore Karnataka India

ISBN: (纸本)9781665491907

Multi-Robot systems (MRS) are transforming diverse domains like logistics, cargo management, and agriculture. However, ensuring that the behavior is correct under various network conditions within such complex environments is challenging, and meeting the desired automation goals is difficult. We propose the CORNET 2.0 co-simulation framework to jointly and accurately simulate multi-agent robotic systems within physical environments and the communication network models within such environments. Our modular framework allows diverse robot and network models to seamlessly integrate to simulate the robot's autonomy, physical space, and network features, such as latency, throughput, and loss intrinsic to the network topology and communication technology. A key novelty of CORNET 2.0 is its accurate synchronizing of mobility and time, which ensures that the physical location of a robot at a point in time, and the network properties and packets that flow from that location, are aligned. This is vital to model and validate MRS coordination algorithms that rely on network interactions. We provide a detailed evaluation of CORNET 2.0 in modeling real-world MRS use cases, such as leader-follower and warehouse environments, that help highlights the benefits.

关键词： Multipurpose robots

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Resilient control Strategies for Multi-Area Interconnected Power systems: Combating External FDI Attacks with UIO and Adaptive control 2

Resilient Control Strategies for Multi-Area Interconnected P...

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2nd international conference on cyber-Energy systems and intelligent Energy, ICCSIE 2024

作者： Zheng, Zhou School of Control and Computer Engineering North China Electric Power University Beijing China

ISBN: (数字)9798350373318

ISBN: (纸本)9798350373318

This work proposes a robust control technique to mitigate false data injection (FDI) attacks on multi-region interconnected power systems. The strategy is based on unknown input observer (UIO) and adaptive control. In order to preserve system performance and stability, adaptive control technology dynamically modifies controller parameters based on estimates from UIO. The efficacy and resilience of the suggested approach are confirmed by numerical simulation and real-world examples, which provide crucial technical support for the power system stability and safety. © 2024 ieee.

关键词： control system stability

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Emergency Response Optimization System with Dynamic Traffic Signal control: (Life Saver) 2

Emergency Response Optimization System with Dynamic Traffic ...

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2nd international conference on intelligent cyber Physical systems and Internet of Things (ICoICI)

作者： Rajeshwari, B. S. Vinay, Y. Gopal, Venu V. Kumar, Tauksik Anil Chowdarapu, Viraj BMS Coll Engn Dept Comp Sci Engn Bangalore Karnataka India

ISBN: (纸本)9798331540661;9798331540678

The traditional emergency response systems often face significant problems that can delay their services. These systems usually struggle with heavy traffic in cities, outdated ways to communicate, and old-fashioned methods for finding the best routes. These issues can be serious, especially in emergencies where every second matters. Also, the inability of these systems to adapt quickly to changing situations makes it even harder for emergency vehicles to get to where they need to be on time. To overcome these challenges, new technologies are being developed to improve how emergency responses are managed. One of these innovations is the Emergency Response Optimization System with Dynamic Traffic Signal control. This system uses advanced tracking technologies to provide ambulance tracking for patients and dynamic traffic signal control. This paper looks at the problems with traditional emergency services and how new technologies can make a big difference, especially focusing on the advantages of dynamic traffic control systems.

关键词： Emergency Response systems Traffic Management Dynamic Traffic Signal control Real-Time Data Analysis Machine Learning Ambulance Response Time Communication Technologies Traffic Optimization intelligent Transportation systems Adaptive Traffic control

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User State Prediction Based on Channel Quality Feedback in 5G Broadcast 13

User State Prediction Based on Channel Quality Feedback in 5...

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13th ieee international conference on cyber technology in automation, control, and intelligent systems, cyber 2023

作者： Peng, Hanlong Feng, Chenyuan Li, Qiang Shenzhen University Guangdong-Hong Kong Joint Laboratory for Big Data Imaging and Communication Shenzhen Key Laboratory of Digital Creative Technology Shenzhen China Office Service Bureau of MIIT Beijing China

ISBN: (纸本)9798350315196

With the rapid development of mobile wireless communication technology, the proliferation of devices in 5G networks necessitates enhanced resource management and user equipment coordination. As a promising solution, the operators can optimize the network management and resource allocation based on user status prediction in order to elevate the system efficiency and enhance the user experience. Under the 5G New Radio paradigm, one certain user equipment can feedback its current channel quality information via the uplink either periodically or non-periodically, and base stations could thereby identify static or dynamic users and optimize network management to adapt to user behavior. This feedback mechanism facilitates effective sensing of multicast channel quality and supports the decision-making processes involved in Modulation and Coding Scheme (MCS) selection and transmission mechanism determination. In this work, we leverage the Light GBM approach to forecast user state based on several uplink information, namely, Channel Quality Indicator (CQI), Reference Signal Receiving Power (RSRP), Reference Signal Receiving Quality (RSRQ) and Signal-to-Noise Ratio (SNR), to aid base stations in making well-informed transmission method selections in the future 5G broadcasting scenario. The result shows that our proposed method outperforms traditional Support Vector Machine (SVM) and Logistic Regression models in terms of user state classification accuracy. © 2023 ieee.

关键词： Base stations

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Managing Variability of cyber-Physical Production systems: Towards Consistency Management 24

Managing Variability of Cyber-Physical Production Systems: T...

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ACM/ieee 27th international conference on Model Driven Engineering Languages and systems: Companion Proceedings (MODELS)

作者： Fadhlillah, Hafiyyan Sayyid Greiner, Sandra Feichtinger, Kevin Zoitl, Alois Rabiser, Rick Johannes Kepler Univ Linz LIT CPS Lab CDL VaSiCS Linz Austria Univ Southern Denmark Odense Denmark Karlsruhe Inst Technol CRC 1608 KASTEL Dependabil Softwareintens Syst Karlsruhe Germany

ISBN: (纸本)9798400706226

Engineering cyber-Physical Production systems (CPPSs) involves several different disciplines, where team members range from mechanical, electrical, and automation engineers, to control software engineers. When developing variability-intensive software systems such as CPPSs, engineers create heterogeneous engineering artifacts of varying granularity, structure, and level of abstraction in the problem and solution space, e.g., CAD drawings, delta models, and control software artifacts. Managing consistency among these heterogeneous artifacts is essential during the development and maintenance of these systems to reduce development costs and runtime failures. Software product line engineering provides approaches to manage the variability of heterogeneous artifacts. However, these approaches must be adapted and extended to manage consistency in CPPSs and address the additional multidimensional challenges in CPPSs. In this short paper, we outline these challenges, motivate them using a case study, and discuss potential solutions to manage the consistency of engineering artifacts expressing CPPS control software variability. We thereby lay the grounds for a deeper understanding of possible inconsistencies and exploring new methods for managing consistency in control software variability in CPPSs.

关键词： cyber-Physical Production systems Engineering Heterogeneous Multi-Modeling Software Modeling Consistency

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Integrated Safety and Security by Design in the IT/OT Convergence of Industrial cyber-Physical systems 7

Integrated Safety and Security by Design in the IT/OT Conver...

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ieee 7th international conference on Industrial cyber-Physical systems (ICPS)

作者： Amiri, Amirali Steindl, Gernot Hollerer, Siegfried TU Wien Inst Comp Engn Vienna Austria

ISBN: (纸本)9798350363029;9798350363012

The convergence of Information technology (IT) and Operational technology (OT) in Industry 4.0 presents new challenges, necessitating innovative approaches to guarantee the safe and secure execution of production processes. Consequently, the safety and security of production systems have emerged as crucial elements, given that security incidents can result in severe consequences such as production failure, equipment damage, or human injury. Previously, in a stakeholder analysis, we investigated how Austrian industrial automation stakeholders manage safety and security risks. The study, which included vendors, integrators, and asset owners, focused on secure and safe infrastructures, system architectures, and risk management. Our findings revealed limited industry awareness and usage of the Reference Architecture Model Industrie (RAMI) 4.0, emphasizing the need for an economically viable, holistic approach to integrated security and safety by design. Moreover, we introduced a comprehensive ontology for safety, security, and operation requirements in the IT/OT convergence. Building on top of these works, we introduce a model-based engineering approach to implement integrated safety and security while designing industrial cyber-Physical systems (CPS). We model these systems precisely using System Modeling Language (SysML) 2.0 specification and verify the requirements.

关键词： IT/OT Convergence Reference Architecture Model Industrie 4.0 Integrated Safety and Security by Design

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Out-of-Order Architecture for Real-Time Data-Driven Resilient Planning and Scheduling of cyber-Physical Manufacturing systems 20

Out-of-Order Architecture for Real-Time Data-Driven Resilien...

引用

ieee 20th international conference on automation Science and Engineering (CASE)

作者： Li, Mingxing Qu, Ting Yan, Mian Li, Ming He, Zhen Huang, George Q. Jinan Univ Sch Intelligent Syst Sci & Engn Inst Phys Internet Zhuhai 519070 Peoples R China Jinan Univ Guangdong Int Cooperat Base Sci & Technol GBA Sma Zhuhai 519070 Peoples R China Tianjin Univ Coll Management & Econ Tianjin 300072 Peoples R China Hong Kong Polytech Univ Dept Ind & Syst Engn Hung Hom Hong Kong Peoples R China Hong Kong Polytech Univ Res Inst Adv Mfg Hung Hom Hong Kong Peoples R China

ISBN: (纸本)9798350358513;9798350358520

The intrinsic stochasticity of manufacturing is one of the main factors that hinder system resilience. Planning and scheduling problems are typical examples plagued by various manufacturing uncertainties such as stochastic processing time, arrivals of new orders, and uncertain breakdowns of stations. Frequent uncertainties regarding operations and resources disturb the workflow, and their cascading effects create chaos in the whole system. The transparency and traceability in cyberphysical manufacturing systems (CPMS) bring new hope to tackle uncertainties. Inspired by the core spirit of Out-of-Order (OoO) Execution in CPU, this paper proposes a novel OoO architecture, under which production and logistics operations are performed according to real-time executability, for resilient planning and scheduling of CPMS. Computational results have confirmed the effectiveness and resilience of the proposed solution under various uncertainties.

关键词： Smart manufacturing

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Software Interference Prevention and SWaP-C Minimization in cyber-Physical systems Using Hypervisor technology 5

Software Interference Prevention and SWaP-C Minimization in ...

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5th ieee international conference on technology, Informatics, Management, Engineering and Environment, TIME-E 2024

作者： Sridadi, Bambang Joelianto, Endra Nazaruddin, Yul Yunazwin Institut Teknologi Bandung Doctoral Program in Engineering Physics Faculty of Industrial Technology Bandung Indonesia Institut Teknologi Bandung Instrumentation Control and Automation Research Group Faculty of Industrial Technology Bandung Indonesia

ISBN: (纸本)9798350364743

Currently, hypervisor technology is an emerging topic of research. Virtualization technology, especially hypervisors and virtual machines (VM), has been widely studied but is still little applied in the cyber-physical systems (CPS) field. A hypervisor, or VM monitor (VMM), is a software program used to run multiple VMs on a single physical machine through space and time partitioning in a real-time operating system. This paper discusses the hypervisor technology to prevent software interference and to minimize size, weight, and power-cost (SWaP-C) in cyber physical systems, as well as, the application of hypervisor technology in the aerospace, automotive and control fields. By partitioning, a hypervisor can increase software safety because application programs with different criticality levels do not affect each other in failure when run in partitioned VMs. © 2024 ieee.

关键词： Application programs

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2024 international conference on Advanced control systems and automation Technologies, ACSAT 2024

2024 International Conference on Advanced Control Systems an...

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2024 international conference on Advanced control systems and automation Technologies, ACSAT 2024

ISBN: (纸本)9798331541668

The proceedings contain 61 papers. The topics discussed include: a method for detecting abnormal datas of transfomer-users based on deep learning;design of intelligent guide car;a model for completing the transformer-user linked data based on variational autoencoder and generative adversarial networks;improved direct torque control based on permanent magnet synchronous motor;principle and parameter setting method of PSS2B model of ieee;design and implementation of an agricultural logistics control system based on IoT technology;artificial intelligence-based interference signal recognition for satellite communications;and model-driven behavioral modeling and verification methods for human-machine hybrid intelligent systems.

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Persistent Monitoring UAV Path Planning Based on Entropy Optimization 13

Persistent Monitoring UAV Path Planning Based on Entropy Opt...

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13th ieee international conference on cyber technology in automation, control, and intelligent systems, cyber 2023

作者： Yu, Zihao Chen, Yang School of Information Science and Engineering Wuhan University of Science and Technology Wuhan430081 China

ISBN: (纸本)9798350315196

The unmanned aerial vehicle (UAV) has demonstrated high efficiency and stability as it is applied in persistent monitoring in large region. Generally, the target region expects to be monitored as soon as possible, so as to obtain high performance of age of information (AOI). This will drive the UAV flying with periodic low-cost trajectories. However, periodic trajectories will incur information security problem, particularly when the adversarial intruders are ready to destroy the region. This study focusses on the UAV path planning on the purpose of improving the monitoring information freshness (MIF) and monitoring privacy protection (MPP). To address the above problems, this paper investigates the single UAV path planning problem of simultaneously optimizing the monitoring AOI and path security. Firstly, by defining the node remaining life, we build the state equation of the monitored nodes. To strengthen the monitoring privacy protection, remaining life entropy of the nodes are introduced to illustrate the path randomness. Then, UAV path planning model is established by maximizing the monitored node remaining life, as well as the average remaining life entropy. Finally, the model is solved by the greedy algorithm (GA). The simulation results show that the proposed method can effectively improve the average remaining life of the monitoring nodes and the security of the UAV monitoring path, which is of great significance for enhancing the security of persistent monitoring and preventing intrusion. © 2023 ieee.

关键词： Entropy

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