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检索条件"任意字段=IEEE International Conference on Cyber Technology in Automation,Control,and Intelligent Systems"

共 35125 条记录，以下是451-460 订阅

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Synchronization of Reaction-Diffusion Complex-Valued Neural Networks via Event-Triggered Sampling Iterative Learning control

Synchronization of Reaction-Diffusion Complex-Valued Neural ...

引用

2024 international Annual conference on Complex systems and intelligent Science, CSIS-IAC 2024

作者： Liu, Yehui Dai, Xisheng Gan, Yanli Xu, Yang School of Automation Guangxi University of Science and Technology Liuzhou545000 China Liuzhou No.1 Vocational and Technical School Department of Mechanical and Automation Liuzhou545000 China

ISBN: (纸本)9798331504755

This paper considers the synchronization of reaction-diffusion complex-valued neural networks (RDCVNNs) based on event-triggered sampling iterative learning control (ET-SILC). An event-triggered control (ETC) method is employed to reduce the control cost. A protocol of complete synchronization is proposed, which combines the advantage of both event-triggered control and sampling iterative learning control. The sufficient condition for synchronization is established using the contraction mapping principle. The numerical simulation example is utilized to confirm the effectiveness of the analysis. © 2024 ieee.

关键词： Neural networks

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Model Based Risk Assessment and Risk Mitigation Framework for cyber-Physical systems 5

Model Based Risk Assessment and Risk Mitigation Framework fo...

引用

5th ieee international conference on Trust, Privacy and Security in intelligent systems and Applications (TPS-ISA)

作者： Gowdanakatte, Shwetha Ray, Indrakshi Abdelgawad, Mahmoud Colorado State Univ Dept Syst Engn Ft Collins CO 80523 USA Colorado State Univ Dept Comp Sci Ft Collins CO USA

ISBN: (纸本)9798350323856

cyber-Physical systems (CPS) form the nation's critical infrastructure. The present-day CPS incorporate advanced communication technologies for remote monitoring and control. However, CPS often have infrastructures that have a very long lifespan. Consequently, the incorporation of cybersecurity in legacy systems is a challenge. This has led to an increased attack surface for CPS. Identifying risks and implementing security techniques during the design phase can help improve the security posture of CPS. This paper presents a holistic model-based risk assessment and mitigation framework for CPS to achieve security by design. Such a framework can also be applied to legacy systems to mitigate the risks.

关键词： cybersecurity cyber-Physical systems Unified Modeling Language System Dynamics Causal Loop Diagrams Zero Trust Architecture

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A Trajectory Tracking Method using Dynamic Sliding Mode control with Parameter Optimization for Autonomous Underwater Vehicles 6

A Trajectory Tracking Method using Dynamic Sliding Mode Cont...

引用

ieee 6th international conference on Industrial cyber-Physical systems (ICPS)

作者： Li, Weiliang Lai, Xuzhi Du, Sheng Lu, Chengda Wang, Yawu Chen, Zonghuan Wu, Min China Univ Geosci Sch Automat Wuhan 430074 Peoples R China Hubei Key Lab Adv Control & Intelligent Automat C Wuhan 430074 Peoples R China Minist Educ Engn Res Ctr Intelligent Technol Geo Explorat Wuhan 430074 Peoples R China Guangzhou Marine Geol Survey Guangzhou 511466 Peoples R China

ISBN: (纸本)9798350311259

Autonomous underwater vehicles (AUVs) must be able to track a particular trajectory when performing various tasks. Sometimes, the widely used control method in actual marine engineering, the proportional integral derivative (PID) control method cannot meet the accuracy requirements of AUVs' trajectory tracking. In this paper, a dynamic surface sliding mode controller for trajectory tracking is designed. A nonlinear disturbance observer is used to compensate for environmental interference, and an improved particle swarm optimization with dynamic inertia weight is applied to optimize the control parameter. Simulation experiments are based on the mathematical model of an underwater robot BLUEROV2, and the control and optimization algorithms are designed.

关键词： trajectory tracking dynamic surface sliding control parameter optimization

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Explaining cyber Risks in Transportaion 5.0: A Data Driven Approach 4

Explaining Cyber Risks in Transportaion 5.0: A Data Driven A...

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4th ieee international conference on Artificial Intelligence in cybersecurity, ICAIC 2025

作者： Tandan, Binod Vajpayee, Prashant Hossain, Gahangir University of North Texas Dept. of Informtation Science DentonTX United States

ISBN: (纸本)9798331518882

The primary objective of the research is to explore the cybersecurity risks associated with AI-enabled intelligent transportation systems (Transportation 5.0) within the context of developing future smart cities. In Transpiration 5.0, the critical infrastructure increasingly relies on automated systems, which enhances the threat of ransomware attacks, specifically targeting vital cyber-physical systems (CPS), smart grids, and intelligent transportation systems (ITS). The paper explores transportation ransomware attack data to incorporate advanced visualization and extract relevant data attributes for cyber risk evaluation. The study uses the NIST risk management framework and ISACA risk quantification to develop a cyber risk evaluation method. With the findings of the literature review, the research highlights ransomware as a significant threat to intelligent transportation systems (ITS), given the negative impact of malware on IoT, IIoT, and network-connected devices. While substantial research exists on malware detection techniques, performance, accuracy, and cloud-based strategies, it's crucial for organizations to comprehend the risks of ransomware attacks to implement effective security controls and enable cyber excellence. The research executes exploratory data analysis on the given dataset to find out the correlation between different attributes such as severity, data loss, affected systems, and ransom amount for evolving a risk method to evaluate cyber risk. The focus is to simplify the risk evaluation process by fitting the right data attributes into a standard risk management framework and risk formula for broader reusability. The method was applied to different transportation modes to calculate the risk scores respectively and generate insights accordingly. The overall analysis supports that effective risk predictions along with consistent monitoring can help to control ransomware attack incidents and improve cyber resiliency. This paper proposes a data-d

关键词： cyber attacks

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Applying Mechanistic AI for Accessing the Production technology Flexibility Potential 15

Applying Mechanistic AI for Accessing the Production Technol...

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15th international conference on Mechanical and intelligent Manufacturing Technologies (ICMIMT)

作者： Mosia, Ngaka Univ South Africa Dept Ind Engn Johannesburg South Africa

ISBN: (纸本)9798350362664;9798350362671

Machine control systems have undergone a significant transformation, transitioning from centralized computer numeric control to automatic control. One of the key challenges in this evolution stems from the complex and varied nature of many manufacturing systems, characterized by multiscale, Multiphysics, dynamic, and stochastic elements. This complexity has spurred numerous innovations at the convergence of artificial intelligence (AI), data analytics, and manufacturing sciences. Consequently, the question of how the manufacturing industry can leverage the technology flexibility available is addressed through the inherent adaptive capabilities of AI. This research aims to articulate and establish a process for imbuing flexibility into manufacturing processes, leveraging the technology of the manufacturing system with the integration of AI. The objective is to harness the adaptive potential of technology-based flexibility using AI, employing a combination of AI methods, mechanism-driven principles, and engineering technology. In this context, flexibility denotes a manufacturing process's ability to respond effectively to new system requirements, whether planned or unforeseen. The paper asserts that the value of system flexibility is an intrinsic advantage of manufacturing system technology. A qualitative research approach is employed to investigate and elucidate how the manufacturing system can be modeled to unlock its flexibility potential, utilizing Mechanistic AI applications.

关键词： manufacturing technology AI automation FMS

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AI-Powered Wrist Ultrasound for Peripheral Arterial Disease 2

AI-Powered Wrist Ultrasound for Peripheral Arterial Disease

引用

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

作者： Arunkumar, K. Reddy, Mallireddy Venkata Nithin Bhavya, Manamasi Saveetha Engn Coll Dept ECE Chennai Tamil Nadu India

ISBN: (纸本)9798331540661;9798331540678

Cardiac disease frequently manifests as circulatory conditions such as peripheral arterial disease (PAD). The sonographic of the arteries in the lower limbs is used in this work to propose a gentle technique for examining PAD. The recommended method includes Otsu's thresholding to binaries spectral pictures, an extraction of important characteristics, and automatic identification made possible by a artificial intelligence model called neural network based predictor. The complete system is incorporated in a wrist-worn ultrasound (US) technology FPGA. Without compromising performance, the exponential domain-based approximation approach minimizes power usage and complicated design. In the analysis of 125 spectrum diagrams, the overall Success Rate in Distinguishing Binary Classes is determined to be 91.4%. The backwards-compatible design may be helpful for Near-bedside apps and constrained by resources platforms to interact with the US system in order to provide a cost-effective solution.

关键词： Field Programmable Gate Array Spectral graph Clinical decision support systems

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international Standards for cybersecurity in Smart Devices for the Power Sector

International Standards for Cybersecurity in Smart Devices f...

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2024 international conference on Computational Intelligence for Green and Sustainable Technologies, ICCIGST 2024

作者： Kaliappan, P. Sudha, S. Shankar, D. Metering and Utility Automation Division Central Power Research Institute Bengaluru India

ISBN: (纸本)9798350381887

The power sector is one of the most essential infrastructures globally. Digital transformation is underway in the power sector, making it more vulnerable to cyberattacks. The power sector is experiencing an increase in cyber incidents day by day. To protect power sector infrastructure against cyber attacks, technology, procedures, and people must work together;only then can prevention be achieved. The power sector needs to adhere to standards, regulations, and guidelines available for the effective implementation of a cyber security framework. The power sector has gained more attention and focus in the last five years. Numerous standards, including the NIST cybersecurity Framework, IEC 62443, ieee 1686, IEC 62351, and IEC 62056, tackle cybersecurity concerns within control systems. Every standard covers and focuses on different domains and parts of the overall system. This paper presents applicable international standards for cyber security in the power sector. © 2024 ieee.

关键词： cyber attacks

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A Fully Distributed Resilient control Strategy Based on Multi-Agent systems 2

A Fully Distributed Resilient Control Strategy Based on Mult...

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

作者： Yang, Xinchi Yao, Ziyue Liu, Zhong Zhao, Hongli Shen, Amei Jin, Yusong Yingkou Power Supply Company State Grid Liaoning Electric Power Co. Ltd. Yingkou China State Grid Liaoning Electric Power Co. Ltd. Skills Training Center Jinzhou China

ISBN: (纸本)9798350373318

In real-world scenarios, communication anomalies among multiple agents are inevitable. To address this issue, especially in situations where full-state measurements are unavailable, this paper introduces the concept of an elastic observer. Furthermore, considering a directed communication network, the paper achieves decoupling of asymmetric Laplacian matrices and adaptive dynamics. The designed control strategy aims to avoid reliance on global information from the directed communication network and abnormal boundaries in instances of communication link disruptions. © 2024 ieee.

关键词： Adaptive control systems

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Digital Twin for Resilient Power Distribution systems 22

Digital Twin for Resilient Power Distribution Systems

引用

22nd international conference on intelligent systems Applications to Power systems

作者： Somda, Baza Liu, Chen-Ching Virginia Tech Bradley Dept Elect & Comp Engn Blacksburg VA 24061 USA

ISBN: (纸本)9798331531768;9798331531751

Heightened awareness of the impact of climate change has led to the rapidly increasing penetration of renewable energy resources in electric energy distribution systems. Those distributed energy resources (DERs), mostly inverter-based, can act as resilience sources for the grid but also introduce new control, stability, and cybersecurity challenges. This work proposes a digital twin (DT) that combines a real-time electromagnetic transient power system simulation and a practical model for communication network simulation. The digital twin allows the testing of novel control and cybersecurity strategies, including machine learning-based anomaly detection. Simulations using the Virginia Tech Electric Service (VTES) as a test case demonstrate the capability of adequately controlled resources, including solar PV, energy storage, and a synchronous generator, to enhance resilience by providing energy to critical loads. The DERs comply with ieee disturbance ride-through requirements, and switching transients are maintained within acceptable limits. A comprehensive DER-based resilience plan is developed and validated for the Virginia Tech Smart Grid.

关键词： Keywords Digital Twins cyber-physical systems Denial -of-Service Distribution systems Microgrid Resilience RTDS

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Autonomous Exploration Algorithm for Mobile Robots in Unknown Confined Environment 16

Autonomous Exploration Algorithm for Mobile Robots in Unknow...

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16th international conference on intelligent Human-Machine systems and cybernetics, IHMSC 2024

作者： Lyu, Zhixiao Yin, Yue Liu, Qinyang Yang, Tianyao Nanjing Normal University School of Electrical and Automation Engineering China Nanjing University of Information Science & Technology School of Computer Science School of Cyber Science and Engineering China

ISBN: (纸本)9798331540241

For the efficiency and precision of autonomous exploration, this paper proposes an optimized algorithm for mobile robots in unknown confined environment. However, the traditional algorithms frequently lead to excessive navigation distance and waste of exploration time consumption. To address these limitations, frontier point selection is improved by utilizing RRT, accomplishing significant improvement in computational efficiency. The exploration path planning was accomplished through the utilization of an enhanced Dijkstra's algorithm, in conjunction with a topological map. Through experimental comparisons, the proposed algorithm achieves significant advantages over existing frontier-based and RRT-based algorithms when dealing with complex environments. In particular, our system is able to reduce the traveling distance by up to 55.16% in difficult scenarios. © 2024 ieee.

关键词： Adversarial machine learning

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