检索结果-内蒙古大学图书馆

arXiv 2021年

作者： Chen, Guanpu Li, Weijian Xu, Gehui Hong, Yiguang Key Laboratory of Systems and Control Academy of Mathematics and Systems Science Beijing China School of Mathematical Sciences University of Chinese Academy of Sciences Beijing China Department of Automation University of Science and Technology of China Anhui Hefei China Department of Control Science and Engineering Shanghai Research Institute for Intelligent Autonomous Systems Tongji University Shanghai China

To solve distributed optimization efficiently with various constraints and nonsmooth functions, we propose a distributed mirror descent algorithm with embedded Bregman damping, as a generalization of conventional distributed projection-based algorithms. In fact, our continuous-time algorithm well inherits good capabilities of mirror descent approaches to rapidly compute explicit solutions to the problems with some specific constraint structures. Moreover, we rigorously prove the convergence of our algorithm, along with the boundedness of the trajectory and the accuracy of the solution. © 2021, CC0.

关键词： Mirrors

来源：评论

学校读者我要写书评

暂无评论

controllability analysis and controller design for variable-pitch propeller quadcopters with one propeller failure

Advanced Control for Applications: Engineering and Industria...

引用

Advanced control for Applications: Engineering and Industrial systems 2020年第2期2卷

作者： Wang, Zhikun Groß, Roderich Zhao, Shiyu Department of Automatic Control and Systems Engineering The University of Sheffield United Kingdom School of Engineering Westlake University Afghanistan Institute of Advanced Technology Westlake Institute for Advanced Study Afghanistan

This article studies a relatively new type of aerial platform: variable-pitch propeller (VPP) quadcopters. Unlike conventional fixed-pitch propellers that can only generate upward thrust forces, a VPP can adjust its pitch angle to generate either upward or downward thrust forces. This provides VPP quadcopter with high agility and strong maneuverability. Although VPP quadcopters have attracted some attention recently, their potential has not been fully explored yet. In this article, we study the fault-tolerant property of VPP quadcopters when one of the four VPPs fails to provide any forces or torques. We identify the equilibrium state in this case and conduct the controllability analysis based on a linearized model. This shows that the system remains controllable even if one propeller fails. As a result, simple linear-quadratic regulator controllers can be used to control the platform. Although the controllability analysis and controller are based on the linearized model, numerical simulation incorporating measurement noises and external disturbances verifies the theoretic findings. © 2020 John Wiley & Sons, Ltd.

关键词： controllers

来源：评论

学校读者我要写书评

暂无评论

Hybrid quantum-classical convolutional neural networks

引用

Science China(Physics,Mechanics & Astronomy) 2021年第9期64卷 1-8页

作者： Junhua Liu Kwan Hui Lim Kristin LWood Wei Huang Chu Guo He-Liang Huang Information Systems Technology and Design Singapore University of Technology and DesignSingapore 487372Singapore Forth AI Singapore 487372Singapore College of Engineering Design and ComputingUniversity of Colorado DenverColorado 80208USA Guangxi Key Laboratory of Optoelectronic Information Processing Guilin University of Electronic TechnologyGuilin 541004China Key Laboratory of Low-Dimensional Quantum Structures and Quantum Control of Ministry of Education Department of Physics and Synergetic Innovation Center for Quantum Effects and ApplicationsHunan Normal UniversityChangsha 410081China Hefei National Laboratory for Physical Sciences at Microscale and Department of Modern Physics University of Science and Technology of ChinaHefei 230026China Shanghai Branch CAS Centre for Excellence and Synergetic Innovation Centre in Quantum Information and Quantum PhysicsUniversity of Science and Technology of ChinaHefei 201315China Henan Key Laboratory of Quantum Information and Cryptography Zhengzhou 450000China

Deep learning has been shown to be able to recognize data patterns better than humans in specific circumstances or *** parallel,quantum computing has demonstrated to be able to output complex wave functions with a few number of gate operations,which could generate distributions that are hard for a classical computer to *** we propose a hybrid quantum-classical convolutional neural network(QCCNN),inspired by convolutional neural networks(CNNs)but adapted to quantum computing to enhance the feature mapping *** is friendly to currently noisy intermediate-scale quantum computers,in terms of both number of qubits as well as circuit’s depths,while retaining important features of classical CNN,such as nonlinearity and *** also present a framework to automatically compute the gradients of hybrid quantum-classical loss functions which could be directly applied to other hybrid quantum-classical *** demonstrate the potential of this architecture by applying it to a Tetris dataset,and show that QCCNN can accomplish classification tasks with learning accuracy surpassing that of classical CNN with the same structure.

关键词： quantum computing quantum machine learning hybrid quantum-classical algorithm convolutional neural network

来源：评论

学校读者我要写书评

暂无评论

The integrated controller dedicated to multi-coil electromagnetic launcher for micro class unmanned aerial vehicles 3

The integrated controller dedicated to multi-coil electromag...

引用

3rd International Young Engineers Forum, YEF-ECE 2019

作者： Kuc, Barbara Kondratiuk, Miroslaw Ambroziak, Leszek Dzierzek, Kazimierz Department of Automatic Control and Robotics Faculty of Mechanical Engineering Bialystok University of Technology Bialystok Poland

ISBN: (纸本)9781538692820

The paper presents the structure, design and operational functions of the integrated controller of an multicoil electromagnetic launcher (EML) for micro class unmanned aerial vehicle (UAVs). UAVs are used for military and civilian purposes for patrolling forest areas, transporting loads of small sizes and weights, mapping, counting animal populations or observing mass events, etc. Some constructions of unmanned aerial vehicles are not equipped with a chassis allowing independent start using special runways, so there is a need for manual ejection by a man hand or using one of many types of dedicated launcher. In example, there are in usage rubber launchers (bungee), pneumatic, hydraulic, steam, rocket and also electromagnetic one. Especially the last type can be used for micro class UAVs. EMLs enable operator to precisely control thrust parameters, i.e. giving the appropriate initial speed, avoiding acceleration pulses, repeating start procedure in short periods of time. For instance, more advanced task involved EMLs can be creation of UAVs formation flight structure, which is very complex process sometimes even impossible to do with manual controlled thrust. The first part of the work presents the concept and construction of a multi-coil launcher with a moving ferromagnetic core. Project was created at the Faculty of Mechanical Engineering of the Bialystok University of technology. The next part of the work presents the structure, design and construction of the dedicated for EML, programmable controller. Moreover, in the paper the method of UAV ejection control and the selection of the appropriate, crucial parameters were described. In the last part, summary the obtained results was presented and conclusions were drawn. © 2019 IEEE.

关键词： controllers

来源：评论

学校读者我要写书评

暂无评论

A DCA Attack Scheme and a Genetic Algorithm-based Intelligent Fault Injection Algorithm For White-Box AES Implementation

A DCA Attack Scheme and a Genetic Algorithm-based Intelligen...

引用

IEEE International Workshop on Anti-counterfeiting, Security, Identification, ASID

作者： Yuyang Pan Yi Wu Yulong Shang Bo Gao Yulin Zhao Zhe Ma Yanzhao Li Xin Wang Zusong Zhang Chi Wang Mi Li Ding Zhou Product Testing Department Bank Card Test Center Beijing China Industrial Development Center Beijing SanTel Technology and Trading Co. Ltd. Beijing China Project Development Department Zhiyun Hezhong (Beijing) Technology Co. Ltd. Beijing China Research Institute Shenzhen State Microelectronics Co. Ltd. Shenzhen China Huawei Technologies Co. Ltd. Shenzhen China Beijing Institute of Automatic Control Equipment Beijing China

In this paper we attack the white-box AES implementation with Differential Correlation Analysis (DCA) and fault injection, which are major risks the white-box AES implementation is facing now. A differential computation analysis (DCA) attack strategy is presented targeted at the implementation of the white-box AES algorithm based on a combination T-box. Using the DCA attack method, 16 subkeys are extracted successfully, which underscores the presence of a notable side-channel security vulnerability within the white-box AES encryption scheme. In order to improve the protection ability of the scheme against side-channel attacks, the enhanced rotating S-box masking scheme is adopted. No security risk has been detected which proves the validity of the mask scheme. Moreover, this research performs the fault injection attack on white-box implementation. However, the process typically demands substantial time and resources due to its manual testing nature. To optimize the method, we introduce an intelligent fault injection algorithm utilizing a genetic algorithm, which automates the fault injection attack to white-box implementation. This proposed scheme exemplifies intelligence and automation in the testing process. The empirical comparison highlights that the automated fault injection algorithm significantly enhances attack efficiency by 980% when compared to the random parameter search method.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Data-driven control of T-Product-based Dynamical systems

arXiv

引用

arXiv 2025年

作者： He, Ziqin Mei, Yidan Mei, Shenghan Mao, Xin Dong, Anqi Wang, Ren Chen, Can Department of Mathematics University of North Carolina at Chapel Hill Chapel HillNC27599 United States School of Data Science and Society University of North Carolina at Chapel Hill Chapel HillNC27599 United States Division of Decision and Control Systems Department of Mathematics KTH Royal Institute of Technology StockholmSE-100 44 Sweden Department of Electrical and Computer Engineering Illinois Institute of Technology ChicagoIL60616 United States School of Data Science and Society the Department of Mathematics University of North Carolina at Chapel Hill Chapel HillNC27599 United States

Data-driven control is a powerful tool that enables the design and implementation of control strategies directly from data without explicitly identifying the underlying system dynamics. While various data-driven control techniques, such as stabilization, linear quadratic regulation, and model predictive control, have been extensively developed, these methods are not inherently suited for multi-linear dynamical systems, where the states are represented as higher-order tensors. In this article, we propose a novel framework for data-driven control of T-product-based dynamical systems (TPDSs), where the system evolution is governed by the T-product between a third-order dynamic tensor and a third-order state tensor. In particular, we offer necessary and sufficient conditions to determine the data informativity for system identification, stabilization by state feedback, and T-product quadratic regulation of TPDSs with detailed complexity analyses. Finally, we validate our framework through numerical *** Codes 37N35, 93-08, 93A15 © 2025, CC BY.

关键词： Tensors

来源：评论

学校读者我要写书评

暂无评论

HEART: Achieving Timely Multi-Model Training for Vehicle-Edge-Cloud-Integrated Hierarchical Federated Learning

arXiv

引用

arXiv 2025年

作者： Yang, Xiaohong Liwang, Minghui Wang, Xianbin Cheng, Zhipeng Hosseinalipour, Seyyedali Dai, Huaiyu Jiao, Zhenzhen School of Informatics Xiamen University Fujian China Department of Control Science and Engineering The National Key Laboratory of Autonomous Intelligent Unmanned Systems Japan Frontiers Science Center for Intelligent Autonomous Systems Ministry of Education Tongji University Shanghai China Department of Electrical and Computer Engineering Western University ON Canada School of Future Science and Engineering Soochow University Suzhou China Department of Electrical Engineering University at Buffalo-SUNY BuffaloNY United States Department of Electrical and Computer Engineering NC State University RaleighNC United States iF-Labs Beijing Teleinfo Technology Company Ltd. CAICT Beijing China

The rapid growth of AI-enabled Internet of Vehicles (IoV) calls for efficient machine learning (ML) solutions that can handle high vehicular mobility and decentralized data. This has motivated the emergence of Hierarchical Federated Learning over vehicle-edge-cloud architectures (VEC-HFL). Nevertheless, one aspect which is underexplored in the literature on VEC-HFL is that vehicles often need to execute multiple ML tasks simultaneously, where this multi-model training environment introduces crucial challenges. First, improper aggregation rules can lead to model obsolescence and prolonged training times. Second, vehicular mobility may result in inefficient data utilization by preventing the vehicles from returning their models to the network edge. Third, achieving a balanced resource allocation across diverse tasks becomes of paramount importance as it majorly affects the effectiveness of collaborative training. We take one of the first steps towards addressing these challenges via proposing a framework for multi-model training in dynamic VEC-HFL with the goal of minimizing global training latency while ensuring balanced training across various tasks—a problem that turns out to be NP-hard. To facilitate timely model training, we introduce a hybrid synchronous-asynchronous aggregation rule. Building on this, we present a novel method called Hybrid Evolutionary And gReedy allocaTion (HEART). The framework operates in two stages: first, it achieves balanced task scheduling through a hybrid heuristic approach that combines improved Particle Swarm Optimization (PSO) and Genetic Algorithms (GA);second, it employs a low-complexity greedy algorithm to determine the training priority of assigned tasks on vehicles. Experiments on real-world datasets demonstrate the superiority of HEART over existing methods. © 2025, CC BY-NC-ND.

关键词： Federated learning

来源：评论

学校读者我要写书评

暂无评论

Exact Differentiator with Lipschitz Continuous Output and Optimal Worst-Case Accuracy Under Bounded Noise

Exact Differentiator with Lipschitz Continuous Output and Op...

引用

IEEE Conference on Decision and control

作者： Rodrigo Aldana-López Richard Seeber Hernan Haimovich David Gómez-Gutiérrez Department of Computer Science and Systems Engineering University of Zaragoza Zaragoza Spain Christian Doppler Laboratory for Model Based Control of Complex Test Bed Systems Institute of Automation and Control Graz University of Technology Graz Austria Centro Internacional Franco-Argentino de Ciencias de la Información y de Sistemas (CIFASIS) CONICET-UNR Rosario Argentina Intel Tecnología de México Intel Labs Intelligent Systems Research Lab Jalisco Mexico Tecnológico Nacional de México Instituto Tecnológico José Mario Molina Pasquel y Henríquez Unidad Académica Zapopan Jalisco Mexico

The online differentiation of a signal contaminated with bounded noise is addressed. A differentiator is developed that generates a Lipschitz continuous output, is exact in the absence of noise, and provides the optimal worst-case accuracy among all possible exact differentiators when noise is present. This combination of features is not shared by any previously existing differentiator. Tuning of the developed differentiator is very simple, requiring only the knowledge of a bound for the second-order derivative of the signal. The approach consists in regularizing the possibly highly noisy output of a recently introduced linear adaptive robust exact differentiator and feeding it to a first-order sliding-mode filter designed to maintain optimal accuracy. The proposed regularization and filtering of this output allows trading the speed with which exactness is obtained for the feature of a Lipschitz continuous, hence less noisy, output. An illustrative example is provided to highlight the features of the developed differentiator.

关键词：

来源：评论

学校读者我要写书评

暂无评论

The OWA operator in multiple linear regression

引用

Applied Soft Computing 2022年 124卷

作者： Flores-Sosa, Martha Avilés-Ochoa, Ezequiel Merigó, José M. Kacprzyk, Janusz University Autonomous of Occidente Av. Lola Beltran Culiacán80020 Mexico School of Information Systems & Modelling Faculty of Engineering and Information Technology University of Technology Sydney 81 Broadway Ultimo2007 NSW Australia Department of Management Control and Information Systems School of Economics and Business University of Chile Av. Diagonal 257 Santiago8330015 Chile Systems Research Institute Polish Academy of Sciences Newelska 6 Warsaw01-447 Poland

Multiple linear regression (MLR) is one of the most widely used statistical procedures for scholarly and research. The main limitation of MLR is that when being estimated with linear methodologies as ordinary least squares (OLS) becomes not functional with complex data. The ordered weighted average (OWA) is an aggregation operator that provides means that collect complex information. This work presents a new application that uses MLR and OWA operators in the same formulation. We developed two applications called MLR-OWA operator and MLR-GOWA operator. The main advantage of the MLR with OWA operators is that we can consider the degree of optimism and pessimism of the environment. We study some of its main properties and particular cases. Finally, an application is tested for a volatility exchange rate estimation problem. © 2022 Elsevier B.V.

关键词： Multiple linear regression

来源：评论

学校读者我要写书评

暂无评论

Distributed online convex optimization with compressed communication 22

Distributed online convex optimization with compressed commu...

引用

Proceedings of the 36th International Conference on Neural Information Processing systems

作者： Zhipeng Tu Xi Wang Yiguang Hong Lei Wang Deming Yuan Guodong Shi Academy of Mathematics and Systems Science Chinese Academy of Sciences China and Australian Center for Field Robotics School of AMME The University of Sydney Australia Department of Control Science and Engineering Tongji University China College of Control Science and Engineering Zhejiang University China School of Automation Nanjing University of Science and Technology China Australian Center for Field Robotics School of AMME The University of Sydney Australia

ISBN: (纸本)9781713871088

We consider a distributed online convex optimization problem when streaming data are distributed among computing agents over a connected communication network. Since the data are high-dimensional or the network is large-scale, communication load can be a bottleneck for the efficiency of distributed algorithms. To tackle this bottleneck, we apply the state-of-art data compression scheme to the fundamental GD-based distributed online algorithms. Three algorithms with difference-compressed communication are proposed for full information feedback (DC-DOGD), one-point bandit feedback (DC-DOBD), and two-point bandit feedback (DC-DO2BD), respectively. We obtain regret bounds explicitly in terms of time horizon, compression ratio, decision dimension, agent number, and network parameters. Our algorithms are proved to be no-regret and match the same regret bounds, w.r.t. time horizon, with their uncompressed versions for both convex and strongly convex losses. Numerical experiments are given to validate the theoretical findings and illustrate that the proposed algorithms can effectively reduce the total transmitted bits for distributed online training compared with the uncompressed baseline.

关键词：

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：