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Prescribed time consensus tracking control of multi-agent systems without velocity information 6

Prescribed time consensus tracking control of multi-agent sy...

引用

6th international Symposium on Autonomous Systems, ISAS 2023

作者： Yang, Xiao Chen, Xingyi Li, Jajie Yuan, Jiemin Chen, Qing Lu, Zhipeng Chongqing University School of Automation Chongqing China Southwest Petroleum University School of Electrical Information Chengdu China Chongqing University of Science and Technology School of Electrical Engineering Chengdu China Xinhua News Agency Beijing China

ISBN: (纸本)9798350316155

this paper addresses the prescribed-time consensus problem for second-order multi-agent systems (MASs) under directed graphs. A group of observers for each follower that are able to evaluate the leader's state at a prespecified time is proposed. A time transformation is introduced to serve for the analysis of the stability of a prespecified finite-time observer. It is confirmed the status of each follower keeps follow those of leader within a specified time under the proposed control method and achieves a consensus for MASs in the defined time. the simulation examples are presented to validate suggested control scheme. © 2023 IEEE.

关键词： Multi agent systems

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Iterative Learning Data Driven Strategy for Aircraft control System 9

Iterative Learning Data Driven Strategy for Aircraft Control...

引用

9th IEEE international conference on Cloud computing and Intelligence Systems, CCIS 2023

作者： Guo, Xiaoyong Wang, Jianhong Gao, Jia Henan University of Engineering College of Software Zhengzhou451191 China Jiangxi University of Science and Technology College of Electrical Engineering and Automation Ganzhou China

ISBN: (纸本)9798350304428

the paper extends our previous contributions about data driven control from the theory and practice in aircraft control system respectively, while achieving the combination of theory and practice. After feeding back the output signal to the input part, and get one error signal, three kinds of data are measured to design the unknown controller without any information about the unknown plant. Based on the internal essence of data driven control, iterative learning idea is introduced with data driven control to iterative leaning data driven control strategy. To get the optimal data driven controller, other knowledge are applied, for example, adaptation, optimization and learning. After reviewing the aircraft control system, our numerical simulation results have demonstrated the efficiency of this proposed iterative learning data driven control strategy. Finally, to achieve the combination with theory and practice, our proposed iterative learning data driven control is applied into aircraft control system, so that the considered aircraft can fly more remotely. © 2023 IEEE.

关键词： Aircraft control

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Finite Element Approach for computing Stray Fields in Magnetic Shielding Due to Non-Sinusoidal and DC Hybrid Excitations 12

Finite Element Approach for Computing Stray Fields in Magnet...

引用

12th IEEE international conference on control, automation and Information sciences, ICCAIS 2023

作者： Cong, Trinh Truong Vu, thanh Nguyen Anh, Tuan Phung Quoc, Vuong Dang Hanoi Univeristy of Science and Technology School of Electrical and Electronic Engineering Hanoi Viet Nam School of Electrical and Electronic Engineering Hanoi Viet Nam

ISBN: (纸本)9798350328783

Traditionally, electromagnetic problems that involve both magnetic and non-magnetic components have been tackled using sinusoidal sources at a 50Hz frequency. However, the effectiveness and suitability of large-scale modeling and simulation in the face of intricate stimulation scenarios remain evolving requirements, presenting modern researchers with a collection of intricate challenges to surmount this obstacle. In this study, a finite element method is extended for magnetic vector potential formulations to calculate stray field losses (magnetic fields, eddy current losses) in magnetic shieldings due to non-sinousoidal and DC hybrid excitations in the excitation coils. the obtained results will have provided a detailed description of the magnetic field distribution, eddy currents, and power losses in the electromagnetic shielding plate for hybrid excitations. the application of the devloped method is validated on the Benchmark problem (TEAM Problem 21 Family). © 2023 IEEE.

关键词： Magnetic fields

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Sensing characteristics of black phosphorus on SF6decomposition components based on the First-principle 6

Sensing characteristics of black phosphorus on SF6decomposit...

引用

6th IEEE international electrical and Energy conference, CIEEC 2023

作者： Tan, Xiangyu Zhou, Fangrong Zhang, Yifan Li, Yi Power Science Research Institute of Yunnan Power Grid Co. Ltd Kunming China School of Electrical Engineering and Automation Wuhan University Wuhan China

ISBN: (纸本)9798350346671

SF6 is widely used as electrical insulating gas in power systems because of its strong insulating and arc extinguishing properties. However, due to partial discharges during actual operation, SF6 reacts to produce a series of by-products, typically SO2 and H2S, which can threaten the stability of equipment and even power systems, so it is necessary to monitor the decomposition of SF6 in real-time. In this paper, the adsorption properties of the two-dimensional material black phosphorus on the typical SF6 decomposition products SO2 and H2S, including adsorption energy, charge transfer and density of states function, are calculated based on the First-principle. the results show that black phosphorus has a certain adsorption effect on both SO2 and H2S, with more sensitivity to SO2, and has the potential to be used as a gas-sensitive material to prepare sensors for real-time monitoring of SF6 decomposition. © 2023 IEEE.

关键词： Sulfur hexafluoride

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Gesture-Based Computer control 6

Gesture-Based Computer Control

引用

6th IEEE international conference on Advances in science and Technology, ICAST 2023

作者： Aggarwal, Suhaani Paul, Austin Bhangale, Tejashree Bharambe, Sameer More, Jyoti Fr. C. Rodrigues Institute of Technology Department of Computer Engineering Vashi India

ISBN: (纸本)9798350359817

this project introduces a groundbreaking Gesture-Based Computer control System aimed at enhancing digital inclusivity and accessibility for individuals with physical disabilities. Traditional computer interfaces often impose limitations on these users, creating obstacles to their digital engagement. this innovative system revolutionizes their interaction with computers by utilizing intuitive gestures. the core components of this system consist of an Air Mouse, Air Keyboard, and Air Canvas, all designed to provide an enriched computing experience. the Air Mouse enables precise cursor control and selection through natural hand movements, eliminating the need for physical pointing devices. the Air Keyboard translates gestures into text and commands, offering an alternative input method for those with restricted mobility. the Air Canvas empowers users to create digital art and interact with software using intuitive hand gestures, fostering creativity and productivity. By embracing gesture-based interaction, this project aims to empower individuals with physical disabilities, granting them greater control over their digital environment while dismantling traditional accessibility barriers. this innovative system promotes inclusivity and is a huge step towards a more accessible, inclusive and user-friendly computing landscape for everyone. © 2023 IEEE.

关键词： Computer control systems

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A Temporal Difference Pyramid Network for Action Recognition 6

A Temporal Difference Pyramid Network for Action Recognition

引用

6th international conference on Software engineering and Computer science, CSECS 2023

作者： Liu, Linfu Qi, Lin Tie, Yun Liang, Chengwu School of Electrical and Information Engineering Zhengzhou University Zhengzhou China School of Electrical and Control Engineering Henan University of Urban Construction Pingdingshan China

ISBN: (纸本)9798350306378

the visual rhythm of human actions can distinguish human actions with high visual similarity by expressing the dynamic and rhythmic scales of activities. In traditional convolutional neural networks, most of the input videos are sampled at different rates using local receptive fields, and there are also methods using multi-layer networks to process videos at different rates, but this requires high computational costs and additional computational resources. the previous methods cannot deal with the problem of feature fusion between different levels of features when identifying the relationship between visual speed and high-level attributes and fine-grained rhythm. In our study, we propose a Temporal Difference Pyramid Network (TDPN). What is significantly extracted from the action recognition network is multi-layer backbone features. the two key points are the global temporal modeling module and the local temporal modeling module. the global temporal modeling module is responsible for extracting low-level features with more location information, while the local temporal modeling module is responsible for extracting high-level features with more semantic information. Meanwhile, a multi-head self-attention mechanism has been used to simultaneously focus on different levels of feature information, better capturing the relative relationships between different features in the video sequence. then, by aggregating different levels of features, the pixel-level fine-grained rhythm dynamics of action visual rhythm with rich information is obtained. Tests on various action recognition benchmarks, including Something-Something V1 and V2 and Kinetics-400, have shown that the TDPN network we suggested significantly boosts the performance of the current video-based action recognition model. © 2023 IEEE.

关键词： Semantics

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A Trade-off Method for a Joint Land Combat Equipment Scale System 6

A Trade-off Method for a Joint Land Combat Equipment Scale S...

引用

6th international conference on Computer Network, Electronic and automation, ICCNEA 2023

作者： Guo, Zhiming Bai, Zilong Ye, Jun Wang, Wei Gao, Liang Qiao, Hu Academy of Machinery Equipment China Research and Development Beijing100089 China Troop No 31306 of PLA Chengdu610000 China Academy of Military Science Consulting Center for Strategic Assessment Beijing100097 China Xi'an Technological University School of Mechanical and Electrical Engineering Xi'an China

ISBN: (纸本)9798350305388

Joint operations are the key to winning future wars, and although all countries are exploring ways of joint operations, there has been less research into the scale of equipment systems for combat. In this thesis, through the trade-off of the scale of the equipment system in joint land operations, the study of weapon system combination selection for large-scale complex systems based on intelligent algorithms. Firstly, we analyse from an algorithmic point of view and select the differential evolutionary algorithm as the main approach to solve the problem, complemented by the TOPSIS method to perform the weapon system allocation operation within the combination. A combination selection optimisation algorithm based on DE-TOPSIS is then developed, which provides a practical as well as effective approach to the trade-offs in the size system of land-based joint combat equipment. © 2023 IEEE.

关键词： Economic and social effects

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A Novel Spark-Based Algorithm for Mining Frequent Utility Patterns 6

A Novel Spark-Based Algorithm for Mining Frequent Utility Pa...

引用

6th international conference on Artificial Intelligence and Big Data, ICAIBD 2023

作者： Wu, Jimmy Ming-Tai Zhou, Huiying Lin, Jerry Chun-Wei Wang, Ke Liu, Shuo Li, Ranran Shandong University of Science and Technology College of Computer Science and Engineering Qingdao China Western Norway University of Applied Sciences Department of Computer Science Electrical Engineering and Mathematical Sciences Bergen Norway

ISBN: (纸本)9781665491259

We are now living in the era of big data thanks to technological innovation. It is very important to discover valuable information in massive data. High utility itemset mining and frequent itemset mining are commonly used techniques in data mining, but they only consider a single factor, ignoring some frequent and efficient itemsets. So as to mine more valuable information, a method for mining skyline frequent utility patterns is proposed. Facing multi-dimensional and large-scale datasets, how to quickly find skyline points is a new challenge. In this article, a parallel algorithm is proposed within the framework of Spark, using Transformations and Actions operators to mine skyline patterns. through the analysis of experimental data, it is proved that the proposed method has high computing efficiency and high search efficiency, and can effectively mine skyline frequent utility itemsets. © 2023 IEEE.

关键词： Large dataset

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Adaptive Traffic Signal control System For Emergency Vehicle Prioritization using IOT 6

Adaptive Traffic Signal Control System For Emergency Vehicle...

引用

6th international conference on Recent Trends in Advance computing, ICRTAC 2023

作者： Reddy, Menati Vasudeva Sathyarajasekaran, K. Vellore Institude of Technology-Chennai School of Computer Science and Engineering Chennai India

ISBN: (纸本)9798350394702

Efficient management of urban traffic is crucial for public safety. the traditional fixed-timing traffic light system presents considerable challenges for the seamless movement of emergency vehicles, notably ambulances. To tackle this problem, our IoT-based solution consists of two essential hardware components: a signal-emitting device integrated into emergency vehicles and a signal-receiving device at traffic signal intersections. these components utilize wireless communication to enable continuous data exchange. On the software front, we've developed a sophisticated traffic management system that can receive and process signals from the signal-emitting device, allowing for real-time adjustments to traffic signal timings. Our primary goal with this system is to prioritize emergency vehicles, particularly ambulances, by dynamically altering signal timings based on precise vehicle location and direction. this innovative approach eliminates the need for manual traffic control intervention and greatly enhances the efficiency of emergency vehicle response within the urban traffic environment. © 2023 IEEE.

关键词： Traffic signals

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Collaborative Optimization of Train Scheduling and Passenger Flow control with Adjustable Dwell Time on a Congested Metro Line 6th

Collaborative Optimization of Train Scheduling and Passenger...

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6th international conference on electrical engineering and Information Technologies for Rail Transportation, EITRT 2023

作者： Wu, Zhengjie Yang, Kai School of Traffic and Transportation Beijing Jiaotong University Beijing100044 China School of Systems Science Beijing Jiaotong University Beijing100044 China

ISBN: (纸本)9789819993109

Metro lines in megacities often experience extreme congestion during peak hours, causing passengers to strand on platforms and pose serious operational risks. this paper formulates a mixed-integer nonlinear programming model (MINP) for the train scheduling and passenger flow control coordination problem with adjustable dwell time on overcrowded metro lines. It can offer a service-oriented schedule plan and implements the effective passenger flow control strategy to reduce platform congestion while maintaining transportation capacity. By employing a linearization method, this paper transformes the proposed model into a linear program that can be efficiently solved via Gurobi. Finally, numerical experiments show that the total waiting time of passengers is reduced by 40.8%, which can effectively reduce rail traffic congestion, and verify the effectiveness of the model. © Beijing Paike Culture Commu. Co., Ltd. 2024.

关键词： Flow control

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