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Learning Scalable Task Assignment with Imperative-Priori Conflict Resolution in Multi-UAV Adversarial Swarm Defense Problem

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Journal of systems Science & Complexity 2024年第1期37卷 369-388页

作者： ZHAO Zhixin CHEN Jie XIN Bin LI Li JIAO Keming ZHENG Yifan School of Electronics and Information Engineering Tongji UniversityShanghai 201804China Shanghai Institute of Intelligent Science and Technology Tongji UniversityShanghai 201804China School of Automation Beijing Institute of TechnologyBeijing 100081China National Key Laboratory of Autonomous Intelligent Unmanned Systems Beijing 100081China Shanghai Institute of Intelligent Science and Technology Tongji UniversityShanghai 201804China.

The multi-UAV adversary swarm defense(MUASD)problem is to defend a static base against an adversary UAV swarm by a defensive UAV *** the problem into task assignment and low-level interception strategies is a widely used ***-based approaches for task assignment are a promising *** studies on learning-based methods generally assume decentralized decision-making architecture,which is not beneficial for conflict *** contrast,centralized decision-making architecture is beneficial for conflict resolution while it is often detrimental to *** achieve scalability and conflict resolution simultaneously,inspired by a self-attention-based task assignment method for sensor target coverage problem,a scalable centralized assignment method based on self-attention mechanism together with a defender-attacker pairwise observation preprocessing(DAP-SelfAtt)is ***,an imperative-priori conflict resolution(IPCR)mechanism is proposed to achieve conflict-free ***,the IPCR mechanism is parallelized to enable efficient *** validate the algorithm,a variant of proximal policy optimization algorithm(PPO)is employed for training in scenarios of various *** experimental results show that the proposed algorithm not only achieves conflict-free task assignment but also maintains scalability,and significantly improve the success rate of defense.

关键词： Conflict resolution reinforcement learning scalability task assignment.

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Bio-signal Analytics and Machine Learning for Medical Imaging Techniques 1

Bio-signal Analytics and Machine Learning for Medical Imagin...

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1st International Conference on Healthcare Innovations, Software and engineering Technologies, HISET 2024

作者： Sood, Danish Bharat, Lakshmi Jha, Ankita Kanhere, Jay Rani, D Shobha Sinha, Ranjana Department of Radiodiagnosis Karad India Gi India Automation & Systems Pvt. Ltd Pune India Institute of Aeronautical Engineering Department of Electrical and Electronics Engineering Hyderabad India Dr. Shyama Prasad Mukherjee University Department of Botany Ranchi India

ISBN: (纸本)9798350360707

Modern engineering science and the area of medicine, which are traditionally seen as two seemingly opposed poles of academic brilliance, are now in close contact thanks to the discipline of biomedical engineering. Currently, the field of image and signal processing is expanding quickly in both the academic and industrial domains. These days, the healthcare and engineering disciplines heavily rely on the processing, analysis, and diagnosis of bio-signals, or pictures. Due to the rapid expansion of information technology, students have access to a wide range of tools that allow them to study any area of science or engineering. For this three specific human physiological bio-signals: breathing rate (BR), heart rate (HR), and blood oxygen saturation level (SpO2) are monitored for the analysis. © 2024 IEEE.

关键词： Signal analysis

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A Technological Research on Electric Vehicles Charging Approaches and Optimization Methods 12

A Technological Research on Electric Vehicles Charging Appro...

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12th IEEE Symposium on Computer Applications and Industrial electronics, ISCAIE 2022

作者： Vani, B. Veena Kishan, Dharavath Ahmad, Md Waseem Hanumanthakari, Sudheer Reddy, B. Naresh Kumar National Institute of Technology Karnataka Department of Electrical and Electronics Engineering Surathkal575025 India Ifhe Department of Electronics and Communication Engineering Hyderabad India School of Electronic Systems & Automation India

ISBN: (纸本)9781665487030

In Present day various countries all throughout the world have taken on Electric Vehicles (EVs) to diminish air pollution and fuel consumption. In coming years, Electric Vehicles are bound to become crucial in the transport field. Subsequently, the charging approaches are in the same line. This paper presents an outline of the current and proposed EV charging approaches and optimization methods. Especially the various EV charging methods like battery exchange, conductive charging and wireless charging are presented. Next, some of the EV charging/discharging optimization methods are examined. On the basis of investigation, a few proposals are put forward for future research. © 2022 IEEE.

关键词： Charging (batteries)

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Introduction

SpringerBriefs in Applied Sciences and Technology

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SpringerBriefs in Applied Sciences and Technology 2022年 1-5页

作者： de Simón-Martín, Miguel Bracco, Stefano Piazza, Giorgio Pagnini, Luisa Carlotta González-Martínez, Alberto Delfino, Federico Department of Electrical Systems and Automation Engineering University of León León Spain Department of Electrical Electronics and Telecommunication Engineering and Naval Architecture University of Genoa Genoa Italy Department of Civil Chemical and Environmental Engineering University of Genoa Genoa Italy

The deployment of Energy Communities can help to increase the provision of sustainable energy from renewable energy sources at urban, industrial, and commercial levels, granting benefits to all the community members. Their effective integration in the form of microgrids (and nanogrids) will undoubtedly help to decarbonize the energy sector and, at the same time, increase energy resiliency. The main purpose of this book is to provide a systematic framework for the calculation of the Levelized Cost of Energy (LCOEn) for Energy Communities proposing a general formulation and its application to three representative real case studies. To the authors’ knowledge, the existing literature does not address this issue yet. This book is intended for researchers, academics and postgraduate students in energy engineering and economics, promoters of energy projects, policymakers and, in general, for anyone interested in energy sustainability and renewable energy integration. In this chapter, we present the context and the aim of the book, its organization and a brief biographical sketch of the authors.` © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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Signal Processing for Acoustic Emission Signature Analysis and Defect Detection 26

Signal Processing for Acoustic Emission Signature Analysis a...

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26th International Conference on Digital Signal Processing and its Applications, DSPA 2024

作者： Altay, Yeldos A. Kuzivanov, Dmitry O. Altay, Dinara A. Fedorov, Alexey V. Satbayev University Department of Robotics and Technical Means of Automation Almaty Kazakhstan ITMO University Faculty of Control Systems and Robotics Saint-Petersburg Russia Military Engineering Institute of Radio Electronics and Communications Department of Natural Sciences Almaty Kazakhstan

ISBN: (纸本)9798350361728

This article presents the results of implementing a digital signal processing method for analyzing the acoustic emission (AE) signature and detecting defects such as cracks and pores. The signal processing method is based on a cascade connection of digital high-pass filters and ensures the selection of informative signals and increases the signal-to-interference ratio. In order to control the formation of defects in the process of selective laser melting, the paper presents the results of experimental testing of the cascade filtration method for detecting defects in the internal structure such as cracks and pores. The signal components recorded during the development of defects during the growth of additive manufacturing products were extracted. AE signatures were analyzed and statistical relationships were assessed. The relationship between the parameters of the AE signal and the values of laser radiation power has been identified, which characterizes the process of defect formation. © 2024 IEEE.

关键词： High pass filters

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Identification and Control of a Linear Time-Periodic Test Bench Using Harmonic Transfer Functions and LQR Controllers 9

Identification and Control of a Linear Time-Periodic Test Be...

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9th International Conference on Control, Decision and Information Technologies, CoDIT 2023

作者： Sert, Basak Catalbas, Bahadir Uyanik, Ismail Hacettepe University Dept. of Electrical and Electronics Engineering Ankara Turkey Aselsan Inc. Defence Systems Technologies Division Ankara Turkey Yildiz Technical University Dept. of Control and Automation Engineering Istanbul Turkey

ISBN: (纸本)9798350311402

The increased need for accurately modeling the input-output characteristics of linear time-periodic (LTP) systems necessitates novel identification and control algorithms as well as new test benches for their experimental validation. This paper introduces a simple-to-build test bench for the identification and control of LTP systems. We mechanically coupled the shafts of two DC motors and fed back the angular velocity to the second motor with a time-periodic modulation. This allowed us to imitate a time-periodic load for the first DC motor, thereby yielding an experimental LTP plant. We used Matlab/Simulink target hardware support to implement the entire software in Simulink, which greatly simplifies input design, data collection, and analysis as compared to embedded programming. We used constant-frequency sinusoidal signals for the data collection on the experimental test bench. Subsequently, we estimated the harmonic transfer functions and identified the parameters of a state-space model of the proposed LTP system. We then designed a time-periodic controller in order to regulate the output of the LTP system. We designed a reference-tracking controller along with a Linear Quadratic Integrator (LQI) to improve the system performance. We validated our results through experiments on the physical LTP system plant. © 2023 IEEE.

关键词： DC motors

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Editorial

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Technisches Messen 2024年第3-4期91卷 143-145页

作者： Mersch, Johannes Gerlach, Gerald Motzki, Paul Institute of Solid-State Electronics Technische Universität Dresden Mommsenstraße 15 Dresden01069 Germany Institute of Measurement Technology Johannes Kepler University Linz Altenberger Straße 69 Linz4040 Austria ZeMA Center for Mechatronics and Automation Technology Department of Systems Engineering Saarland University Saarbrücken Germany

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Multi-Agent Collision Avoidance Based on DRL and ORCA 43

Multi-Agent Collision Avoidance Based on DRL and ORCA

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43rd Chinese Control Conference, CCC 2024

作者： Zhao, Xiyan Wang, Chongchong Xu, Jia Li, Li Busoniu, Lucian Tongji University School of Electronics and Information Engineering Shanghai201804 China Tongji University Shanghai Research Institute for Intelligent Autonomous Systems Shanghai201804 China Technical University of Cluj-Napoca Automation Department Cluj-Napoca400609 Romania

ISBN: (纸本)9789887581581

This paper proposes a distributed multi-agent collision avoidance model in dynamic and complex environments based on ORCA and DRL. The main work combines data-driven reinforcement learning with model-based knowledge by integrating imitation learning into reinforcement learning and by designing more effective observations and reward functions. Four strategies are compared, and results demonstrate that our method exhibits superior capabilities. © 2024 Technical Committee on Control Theory, Chinese Association of automation.

关键词： Deep reinforcement learning

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Overview of the modern SoC design technologies and open softprocessor architectures 13

Overview of the modern SoC design technologies and open soft...

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13th International Conference on Dependable systems, Services and Technologies, DESSERT 2023

作者： Miroshnyk, Maryna Filippenko, Inna Korniienko, Valentyn Shkil, Alexander Anatolii, Miroshnyk Karazin V. N. Kharkiv National University Department of Theoretical and Applied Systems Engineering Kharkiv Ukraine Kharkiv National University of Radio Electronics Design Automation Department Kharkiv Ukraine

ISBN: (纸本)9798350396119

The analysis of existing platforms and tools for designing systems on chip is given. The variants of soft-processor architectures that are relevant at the current moment are considered, prospective directions of research and integration into embedded systems are determined. The overview of solutions based on the RISC-V architecture and softcore processors based on them was conducted. The existing solutions from FPGA vendors to realize the possibilities of partial reconfiguration of the system are considered. The typical problems encountered in the design of embedded systems and possible tools which can be used for requirements analysis are presented. © 2023 IEEE.

关键词： System-on-chip

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An efficient way to vehicle movement monitor in flooded underpass using IoT 1

An efficient way to vehicle movement monitor in flooded unde...

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1st International Conference on Computational Intelligence and Sustainable engineering Solution, CISES 2022

作者： Suresh, N. Bala Vamsi, T. Aravind, Y. Veena Vani, B. Naresh Kumar Reddy, B. KL. University Department of Electronics and Communication Engineering India National Institute of Technology Department of Electrical Engineering Surathkal India School of Electronic Systems and Automation India

ISBN: (数字)9781665480048

ISBN: (纸本)9781665480048

Humans are now suffering issues because of the rapid growth of the human population. Apart from that, there is a deficiency of appropriate infrastructure in development projects, such as roads and underpasses, which results in a range of challenges, such as water logging and floods. In the event of heavy rain, underpasses and roads get immediately swamped with water, resulting in traffic gridlock and car immobilization. Until recently, there were no planned strategies for monitoring the quantity of water in underpasses and flooded areas, and this is expected to change. We will need to keep a watch on it in the news or on Google Maps, or we will need to find out if anybody else has reported it before. One of the problems with this system is that the information we get moves slowly and easily may be misrepresented or manipulated. The principal aim of this system is to keep track of the quantity of water that is present in underpasses and other flood-prone areas. The data collected by our water level sensor, which we are using to monitor water level, is controlled, and uploaded by an Arduino board equipped with an ESP8266 module. A regular stream of data will be delivered to the cloud, and the vehicle movement will be rerouted in the most suitable way. It follows that individual who are passing via an underpass or on flooded roads may arrange their journeys appropriately by accessing information stored in the cloud. Another feature is the installation of an LCD display near the underpass, which continuously updates the water level, allowing anyone in the neighborhood to determine if it is safe for their car to pass through or not. A DC motor pump is then utilized to pump out the water when the level of the water exceeds a predetermined threshold value. This system has been tested in a number of configurations and has consistently performed as intended and produced dependable results in all circumstances. Furthermore, since it is less costly than prior prototypes, the p

关键词： Cloud computing architecture

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