检索结果-内蒙古大学图书馆

arXiv 2024年

作者： Bertolotti, Beatrice Russo, Matteo Schwiegelshohn, Chris Shyam, Sudarshan Department of Computer Science Aarhus University Åbogade 34 Aarhus N8200 Denmark Department of Computer Control Management Engineering Sapienza University of Rome Via Ariosto 25 Rome00185 Italy

We study the sublinear multivariate mean estimation problem in d-dimensional Euclidean space. Specifically, we aim to find the mean µ of a ground point set A, which minimizes the sum of squared Euclidean distances of the points in A to µ. We first show that a multiplicative (1 + Ε) approximation to µ can be found with probability 1 − δ using O(Ε−1 log δ−1) many independent uniform random samples, and provide a matching lower bound. Furthermore, we give two sublinear time algorithms with optimal sample complexity for extracting a suitable approximate mean: 1. A gradient descent approach running in time O((Ε−1 + log log δ−1) · log δ−1 · d). It optimizes the geometric median objective while being significantly faster for our specific setting than all other known algorithms for this problem. 2. An order statistics and clustering approach running in time O ((Ε−1 + logγ δ−1) · log δ−1 · d) for any constant γ > 0. Throughout our analysis, we also generalize the familiar median-of-means estimator to the multivariate case, showing that the geometric median-of-means estimator achieves an optimal sample complexity for estimating µ, which may be of independent interest. © 2024, CC BY.

关键词： Consensus algorithm

来源：评论

学校读者我要写书评

暂无评论

Steps Toward Industry 5.0:Building“6S”Parallel Industries With Cyber-Physical-Social Intelligence

引用

IEEE/CAA Journal of Automatica Sinica 2023年第8期10卷 1692-1703页

作者： Xingxia Wang Jing Yang Yutong Wang Qinghai Miao Fei-Yue Wang Aijun Zhao Jian-Ling Deng Lingxi Li Xiaoxiang Na Ljubo Vlacic School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049China State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China IEEE Macao University of Science and Technology Macao 999078China Beijing Engineering Research Center of Intelligent Systems and Technology Chinese Academy of SciencesBeijing 100098 State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190China North Automatic Control Technology Institute Taiyuan 030006China China Huaneng Group Co. Ltd.Beijing 100031China Department of Electrical and Computer Engineering Indiana University-Purdue University Indianapolis(IUPUI)IndianapolisIN 46202 USA Department of Engineering University of CambridgeCambridgeCB21PZUK School of Engineering and Built Environment Griffith UniversityGold CoastQLD 4222Australia

Very recently,intensive discussions and studies on Industry 5.0 have sprung up and caused the attention of researchers,entrepreneurs,and policymakers from various sectors around the ***,there is no consensus on why and what is Industry 5.0 *** this paper,we define Industry 5.0from its philosophical and historical origin and evolution,emphasize its new thinking on virtual-real duality and human-machine interaction,and introduce its new theory and technology based on parallel intelligence(PI),artificial societies,computational experiments,and parallel execution(the ACP method),and cyber-physical-social systems(CPSS).Case studies and applications of Industry 5.0 over the last decade have been briefly summarized and analyzed with suggestions for its future *** believe that Industry 5.0 of virtual-real interactive parallel industries has great potentials and is critical for building smart *** are outlined to ensure a roadmap that would lead to a smooth transition from CPS-based Industry 4.0 to CPSS-based Industry 5.0 for a better world which is Safe in physical spaces,S ecure in cyberspaces,Sustainable in ecology,Sensitive in individual privacy and rights,Service for all,and Smartness of all.

关键词： ACP artificial intelligence CPS CPSS Industry 4.0 Industry 5.0 parallel industries parallel intelligence

来源：评论

学校读者我要写书评

暂无评论

Safety-Critical control and Path Following by Formations of Agents with control Barrier Functions using Distributed Model Predictive control

Safety-Critical Control and Path Following by Formations of ...

引用

Chinese control and Decision Conference, CCDC

作者： YiZhi Sun Di Wu Liang Gao YongFeng Gao Yan Pan Nan Ding School of Control Science and Control Engineering Dalian University of Technology Dalian China School of Naval Arch and Ocean Engineering Dalian University of Technology Dalian China School of Computer Science and Technology Dalian University of Technology Dalian China

In this paper, we propose a safety-critical formation control method based on distributed nonlinear model predictive control strategy, which controls the path following and formation maintenance of the multiple mobile robots, while ensuring the collision avoidance. Firstly, we adopt the distributed framework with high real time performance. Secondly, based on the distributed optimization framework, discrete-time control barrier function constraints are transformed into smooth differentiable constraints to complete the polytopic obstacle avoidance with a small horizon by using the strong duality of convex optimization. Finally, the simulation results of three robots are given to prove the effectiveness of the proposed algorithm, and it can realize the local path generation based on real-time optimization in the narrow environment.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Direct data-driven LPV control of nonlinear systems: An experimental result

引用

IFAC-PapersOnLine 2023年第2期56卷 2263-2268页

作者： Chris Verhoek Hossam S. Abbas Roland Tóth Control Systems Group Dept. of Electrical Engineering Eindhoven University of Technology 5600MB Eindhoven The Netherlands Institute for Electrical Engineering in Medicine Universität zu Lübeck 23558 Lübeck Germany Systems and Control Lab Institute for Computer Science and Control 1111 Budapest Hungary

We demonstrate that direct data-driven control of nonlinear systems can be successfully accomplished via a behavioral approach that builds on a Linear Parameter-Varying (LPV) system concept. An LPV data-driven representation is used as a surrogate LPV form of the data-driven representation of the original nonlinear system. The LPV data-driven control design that builds on this representation form uses only measurement data from the nonlinear system and a priori information on a scheduling map that can lead to an LPV embedding of the nonlinear system behavior. Efficiency of the proposed approach is demonstrated experimentally on a nonlinear unbalanced disc system showing for the first time in the literature that behavioral data-driven methods are capable to stabilize arbitrary forced equilibria of a real-world nonlinear system by the use of only 7 data points.

关键词： Data-Driven control Linear Parameter-Varying Systems

来源：评论

学校读者我要写书评

暂无评论

Data-driven Optimal Cooperative Output Regulation of Unknown Linear Discrete-time Multi-agent Systems

Data-driven Optimal Cooperative Output Regulation of Unknown...

引用

第35届中国控制与决策会议

作者： Dong Liang Yi Dong Chaoli Wang Engang Tian Department of Control Science and Engineering School of Optical-Electrical and Computer Engineering University of Shanghai for Science and Technology College of Electronic and Information Engineering Shanghai Research Institute for Intelligent Autonomous Systems Tongji University

The cooperative output regulation problem has been extensively studied on the basis of the distributed observer ***,the majority of the existing research assumes that the dynamics is known *** remove this condition,the cooperative output regulation problem is further solved via the data-driven framework where the dynamics of the plant is ***,a data-driven distributed observer is established to estimate the state of the leader with unknown dynamics subject to external ***,the unknown regulator equations are solved using the iterative recurrent neural network ***,the state-based data-driven distributed control law is synthesized to solve the *** optimal gains are derived by solving convex optimization problems using input and state ***,a numerical example is presented to verify the feasibility of the proposed framework.

关键词： Linear systems multi-agent systems cooperative output regulation data-driven control optimal control

来源：评论

学校读者我要写书评

暂无评论

Word Embedding of Dimensionality Reduction for Document Clustering

Word Embedding of Dimensionality Reduction for Document Clus...

引用

Chinese control and Decision Conference, CCDC

作者： Pengyu Zhu Qi Lang Xiaodong Liu School of Control Science and Engineering Dalian University of Technology Dalian China School of Computer Science and Information Technology Northeast Normal University Changchun China

Word embedding models have been extensively used in document analysis. Even though many models have been created for embedding documents into vector spaces, their document clustering performance is not noticeably better than that of conventional bag-of-words representations. This paper proposes a document clustering called Word Embedding of Dimensionality Reduction (WERD) that can be used in conjunction with any word embedding method and can provide a semantic explanation of the clustering outcomes. Stopwords and a lexical reduction are first used to preprocess the documents. A pre-trained embedding model is used to embed documents. Then a dimension reduction is used to reduce the dimension of the embedded data to remove redundant features and create more compact document vectors used as document features for clustering. After clustering, the Non-Negative Matrix Factorization approach extracts the keywords from each cluster to produce semantic descriptions. Numerous experiments on two datasets show that WERD can produce superior clustering results.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Synthesis of Decentralized Variable Gain Robust controllers with Guaranteed L2Gain Performance via Piecewise Lyapunov Functions for a Class of Uncertain Large-Scale Interconnected Systems 48

Synthesis of Decentralized Variable Gain Robust Controllers ...

引用

48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022

作者： Nagai, Shunya Oya, Hidetoshi Kubo, Tomohiro Matsuki, Tsuyoshi Niihama College Department of Electronics and Control Engineering Ehime Japan Tokyo City University Faculty of Knowledge Engineering Department of Computer Science Tokyo Japan Tokushima University Graduate School of Technology Industrial and Social Sciences Tokushima Japan

ISBN: (数字)9781665480253

ISBN: (纸本)9781665480253

For a class of uncertain large-scale interconnected systems, a design method of decentralized variable gain robust controllers with guaranteed { mathcal{L}-{{2}}} gain performance based on piecewise Lyapunov functions is shown in this paper. Furthermore, LMI-based sufficient conditions for the existence of the proposed decentralized variable gain robust controller are shown. Finally, the effectiveness of the proposed robust controller is presented through a simple numerical example. © 2022 IEEE.

关键词： Lyapunov functions

来源：评论

学校读者我要写书评

暂无评论

Low-Distortion Clustering with Ordinal and Limited Cardinal Information

arXiv

引用

arXiv 2024年

作者： Burkhardt, Jakob Caragiannis, Ioannis Fehrs, Karl Russo, Matteo Schwiegelshohn, Chris Shyam, Sudarshan Department of Computer Science Aarhus University Åbogade 34 Aarhus N8200 Denmark Department of Computer Control Management Engineering Sapienza University of Rome Via Ariosto 25 Rome00185 Italy

Motivated by recent work in computational social choice, we extend the metric distortion framework to clustering problems. Given a set of n agents located in an underlying metric space, our goal is to partition them into k clusters, optimizing some social cost objective. The metric space is defined by a distance function d between the agent locations. Information about d is available only implicitly via n rankings, through which each agent ranks all other agents in terms of their distance from her. Still, even though no cardinal information (i.e., the exact distance values) is available, we would like to evaluate clustering algorithms in terms of social cost objectives that are defined using d. This is done using the notion of distortion, which measures how far from optimality a clustering can be, taking into account all underlying metrics that are consistent with the ordinal information available. Unfortunately, the most important clustering objectives (e.g., those used in the well-known k-median and k-center problems) do not admit algorithms with finite distortion. To sidestep this disappointing fact, we follow two alternative approaches: We first explore whether resource augmentation can be beneficial. We consider algorithms that use more than k clusters but compare their social cost to that of the optimal k-clusterings. We show that using exponentially (in terms of k) many clusters, we can get low (constant or logarithmic) distortion for the k-center and k-median objectives. Interestingly, such an exponential blowup is shown to be necessary. More importantly, we explore whether limited cardinal information can be used to obtain better results. Somewhat surprisingly, for k-median and k-center, we show that a number of queries that is polynomial in k and only logarithmic in n (i.e., only sublinear in the number of agents for the most relevant scenarios in practice) is enough to get constant distortion. © 2024, CC BY.

关键词： Clustering algorithms

来源：评论

学校读者我要写书评

暂无评论

Efficient Frameworks for EEG Epileptic Seizure Detection and Prediction

引用

Annals of Data science 2022年第2期9卷 393-428页

作者： Emara, Heba M. Elwekeil, Mohamed Taha, Taha E. El-Fishawy, Adel S. El-Rabaie, El-Sayed M. El-Shafai, Walid El Banby, Ghada M. Alotaiby, Turky Alshebeili, Saleh A. Abd El-Samie, Fathi E. Department of Electronics and Electrical Communications Engineering Faculty of Electronic Engineering Menoufia University Menouf32952 Egypt Security Engineering Laboratory Department of Computer Science Prince Sultan University Riyadh11586 Saudi Arabia Department of Industrial Electronics and Control Engineering Faculty of Electronic Engineering Menoufia University Menouf32952 Egypt KACST Riyadh Saudi Arabia King Saud University Riyadh Saudi Arabia Department of Electrical Engineering King Saud University Riyadh11421 Saudi Arabia Department of Information Technology College of Computer and Information Sciences Princess Nourah Bint Abdulrahman University Riyadh21974 Saudi Arabia

Seizure detection and prediction are a very hot topics in medical signal processing due to their importance in automatic medical diagnosis. This paper presents three efficient frameworks for applications related to electroencephalogram (EEG) signal processing. The first one is an automatic seizure detection framework based on the utilization of scale-invariant feature transform (SIFT) as an extraction tool. The second one depends on the utilization of the fast Fourier transform (FFT) and an artificial neural network for epileptic seizure prediction. Finally, an automated patient-specific framework for channel selection and seizure prediction is presented based on FFT. The simulation results show the success of the proposed frameworks for automated medical diagnosis. © 2021, Springer-Verlag GmbH Germany, part of Springer Nature.

关键词： Fast Fourier transforms

来源：评论

学校读者我要写书评

暂无评论

Multi-party Privacy-Preserving Record Linkage Method Based on Trusted Execution Environment 19th

Multi-party Privacy-Preserving Record Linkage Method Based o...

引用

19th International Conference on Web Information Systems and Applications, WISA 2022

作者： He, Xuefei Wei, Haiping Han, Shumin Shen, Derong School of Information and Control Engineering Liaoning Petrochemical University Fushun113001 China School of Artificial Intelligence and Software Liaoning Petrochemical University Fushun113001 China School of Computer Science and Engineering Northeastern University Shenyang110167 China

ISBN: (纸本)9783031203084

As the amount of data in the real world explodes, linking data and making decisions about it is critical. The multi-party privacy-preserving record linkage (PPRL) technology is proposed to find all the record information corresponding to the same entity from multiple data sources, and the sensitive information of the data source should not be disclosed during the process. Existing multi-party PPRL methods often use homomorphic encryption to ensure data security, but there are still some shortcomings. For example, malicious collusion among participants will lead to the disclosure of private keys, and the calculation process is complicated, which challenges the scalability of the multi-party PPRL method. Based on the shortcomings of the current research status, to improve the security and shorten the matching time to make it more suitable for the real big data environment, we propose a multi-party PPRL method based on Trusted Execution Environment (TEE), which avoids the possibility of malicious collusion and reduces the loss of data. It can better resist privacy attacks in the process of linking while shortening the runtime, showing better performance and scalability. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Scalability

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：