检索结果-内蒙古大学图书馆

Industrial Cyber-Physical systems (ICPS)

作者： Hui-Ting Wang Chuan-Ke Zhang Yong He School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan China

This article focuses on the $H_{\infty}$ control against mixed denial of service (DoS) attacks for cyber-physical systems (CPSs), where attacks are under zero-input and hold-input strategies. By introducing a unified model describing the simultaneous existence of the two attacks, the CPS can be converted to a switched system with one delay. To ensure control performance, the type-dependent average dwell time (ADT) is applied for the first time to pose constraints on the occurrence frequency of DoS attacks. In the meantime, multiple discontinuous Lyapunov functions (MDLFs) are employed. Upon this, the global uniform exponential stability (GUES) and $H_{\infty}$ performance of the closed-loop system are guaranteed. Finally, the effectiveness of our theoretical results is verified by a numerical example.

关键词： Switched systems Time-frequency analysis Stability Cyber-physical systems Delays Control theory Closed loop systems

来源：评论

学校读者我要写书评

暂无评论

Gesture Recognition Using FMCW Radar Based on Deep Neural Network

Gesture Recognition Using FMCW Radar Based on Deep Neural Ne...

引用

Chinese Automation Congress (CAC)

作者： Rui Wang Wei Xue Jiao Peng Xinya Yang Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China

In recent years, radar based gesture recognition technology has attracted more and more attention. Among different types of radars, frequency modulated continuous wave (FMCW) radar has the greatest application potential due to its high range and velocity resolution and low cost. However, insufficient gesture information extraction and interference signals affect the performance of FMCW radar gesture recognition. To address the problems, a gesture recognition method based on multi-dimensional features and deep neural network is proposed in this paper. First, the range-time map (RTM) and velocity-time map (VTM) of the gesture are constructed from the range-Doppler map (RDM) with two-dimensional fast Fourier transform (2D-FFT). Then, the angle-time map (ATM) is constructed with the multiple signal classification (MUSIC) algorithm. Subsequently, RTM, VTM and ATM are normalized and adaptively filtered to suppress interference signals, and the three maps are fused to construct the range-velocity-angle-time map (RV ATM) of the gesture. Finally, an improved VGG16 network with self-attention mechanism module is used for feature extraction and recognition. The experimental results show that the proposed method achieves an average accuracy of 98.3% for six gestures, and the improved VGG16 network outperforms other traditional convolutional neural networks.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Position and Attitude Control of Quadrotor UAV Based on a New Sliding Mode Control Strategy

Position and Attitude Control of Quadrotor UAV Based on a Ne...

引用

Chinese Control Conference (CCC)

作者： Yinghua Wu Ancai Zhang Guangyuan Pan Yingxue Du Zhi Liu School of Automation and Electrical Engineering Linyi University Linyi Shandong P. R. China Key Laboratory of Complex Systems and Intelligent Computing Universities of Shandong Linyi University Linyi Shandong P. R. China

A Quadrotor unmanned aerial vehicle (UAV) is a typical underactuated nonlinear mechanical system with six degrees of freedom (DOF) and four inputs. This paper develops a new sliding mode control (SMC) strategy to solve the position and attitude control problem for this multi-DOF underactuated system. First, the dynamic motion equation model of the Quadrotor UAV is established. Second, the first and fourth inputs are designed by using the traditional SMC method and a novel Gaussian geometric function reaching law. And then, we design the second and third inputs based on a hierarchical SMC method. And the stability of sliding mode surfaces are analyzed using Lyapunov theory. The designed four sliding controllers guarantee the flight control objective of the Quadrotor UAV to be achieved. And the Gaussian reaching law used in the design of controllers can effectively reduce the chattering phenomena in the sliding mode surfaces. Numerical examples verify the effectiveness of our developed control strategy.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Large-scale Human Mobility Data Regeneration for Open Urban Research 25

Large-scale Human Mobility Data Regeneration for Open Urban ...

引用

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1

作者： Ruixing Zhang Yunqi Liu Liangzhe Han Leilei Sun Chuanren Liu Jibin Wang Weifeng Lv The State Key Laboratory of Complex and Critical Software Environment Beihang University Haidian Beijing China The State Key Laboratory of Complex and Critical Software Environment Beihang University Haidian Beijing China & The Key Laboratory of Data Science and Intelligent Computing International Innovation Institute Beihang University Hangzhou Zhejiang China Business Analytics and Statistics Haslam College of Business The University of Tennessee Knoxville Tennessee USA China Mobile Group IT Center Xicheng Beijing China & The State Key Laboratory of Complex and Critical Software Environment Beihang University Haidian Beijing China

ISBN: (纸本)9798400712456

Large-scale human mobility data contains rich spatial and temporal information for urban sensing, crowd flow modeling, and urban planning. However, it is usually difficult to access wide-coverage, long-term, and consistent-time human mobility data. Most of the publicly available datasets are actually only records of discontinuous trajectories of a very small portion of urban citizens in asynchronous time due to the limited usage of apps for location data collection or the limited number of volunteers. To address this problem and empower open urban research, this paper constructs a high-quality human mobility dataset by generating large-scale citizen trajectories based on massive cellular signaling data. Particularly, we first propose a heatmap diffusion module to generate a probability heatmap that produces plausible trajectories at both the individual and city scales. Then, we propose a masked trajectory AutoEncoder, which can generate individual trajectory embeddings from partially given or empty trajectories. Third, a flexible framework is provided to incorporate the heatmap diffusion module with the masked trajectory embeddings, demonstrating significant flexibility in handling both fully masked trajectories for city-wide analysis and partially masked trajectories for specific locations. We have conducted extensive experiments to validate the utility of the regenerated trajectories at both individual and region levels for various applications. Numerous case studies further illustrate that our model learns not only the distribution of the trajectories but also the semantics of different urban *** summary, this paper provides a Heatmap Diffusion framework based on a Masked Trajectory AutoEncoder to regenerate flexible trajectories for open urban research. Correspondingly, we will try to open a large-scale human mobility data service for open urban research. Further information can be found at https://***/Rising0321/FinalOpenUR.

关键词： human mobility

来源：评论

学校读者我要写书评

暂无评论

Distributed solver for linear matrix inequalities: an optimization perspective

引用

Control Theory and Technology 2021年第4期19卷 507-515页

作者： Weijian Li Wen Deng Xianlin Zeng Yiguang Hong Department of Automation University of Science and Technology of ChinaHefei 230027AnhuiChina Key Lab of Systems and Control Academy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing 100190China Key Laboratory of Intelligent Control and Decision of Complex Systems School of AutomationBeijing Institute of TechnologyBeijing 100081China Department of Control Science and Engineering Tongji UniversityShanghai 201804China

In this paper,we develop a distributed solver for a group of strict(non-strict)linear matrix inequalities over a multi-agent network,where each agent only knows one inequality,and all agents co-operate to reach a consensus solution in the intersection of all the feasible *** formulation is transformed into a distributed optimization problem by introducing slack variables and consensus ***,by the primal–dual methods,a distributed algorithm is proposed with the help of projection operators and derivative ***,the convergence of the algorithm is analyzed,followed by illustrative simulations.

关键词： Distributed computation Distributed optimization Linear matrix inequalities Primal-dual method

来源：评论

学校读者我要写书评

暂无评论

Robust Fixed-Time Sliding Mode Control of Underactuated Furuta Pendulum System

Robust Fixed-Time Sliding Mode Control of Underactuated Furu...

引用

Data Driven Control and Learning systems (DDCLS)

作者： Zhujun Wang Xinhao Zhou Ancai Zhang Xiao Liang Guangyuan Pan School of Automation and Electrical Engineering Linyi University Linyi Shandong P. R. China Key Laboratory of Complex Systems and Intelligent Computing in Universities of Shandong Linyi University Linyi Shandong P. R. China

A Furuta pendulum is a typical underactuated mechanical system with two degrees of freedom (DOF) and only one input. We address the robust stabilization control problem for this 2-DOF underactuated system with a matched external disturbance. A fixed-time sliding mode control method is presented. First, the dynamic motion model of the system is established using the Euler-Lagrange modeling method. And then, we get the approximate linearization model of the system around the origin equilibrium point and construct a homeomorphic coordinate transformation for this model. After that, a sliding mode surface and a fixed-time robust controller are designed for the transformed system. The developed controller ensures the system's state variables to reach the sliding mode surface in a fixed time. This guarantees the fixed-time robust stabilization control objective to be achieved. Finally, two numerical examples demonstrate the validity of our presented control strategy.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Dual-Layer Collaborative Hunting Algorithm Using Virtual Wolf Pack

Dual-Layer Collaborative Hunting Algorithm Using Virtual Wol...

引用

Chinese Control Conference (CCC)

作者： Zhiqiang Miao Jianlei Zhang Chunyan Zhang Chen Wang Guangming Xie Department of Automation College of Artificial Intelligence Nankai University Tianjin China State Key Laboratory for Turbulence and Complex Systems Intelligent Biomimetic Design Lab College of Engineering Peking University Beijing China

ISBN: (数字)9789887581581

ISBN: (纸本)9798350366907

Collaborative hunting, also known as Multi-Agent Pursuit Evasion (MAPE), is a crucial aspect of swarm intelligence. The main obstacles in MAPE research involve making real-time decisions in dynamic environments, efficient task allocation, collision avoidance among multiple agents, planning and tracking prey in unknown environments, and information sharing under communication constraints. This paper presents the Dual-Layer Collaborative Hunting Algorithm Using Virtual Wolf Pack (DLCH-VWP), which utilizes biomimetic principles, specifically leveraging the advantages and hunting strategies of wolf packs, to enhance collaborative efficiency and adaptability in complex environments within MAPE. The algorithm employs a two-tier strategy, with the strategy planning center using biomimetic wolf pack algorithm to manage environment perception, state assessment, prey movement prediction, and inter-robot communication. The local response center treats each wolf as an independently operating sub-pack, utilizing a combination of Grey Wolf Optimizer (GWO) and the local A-star algorithm to provide each wolf with individual autonomy. This allows for efficient dynamic path planning by determining the path for each wolf based on joint decision-making of the group and individual. Simulation experiments have confirmed the effectiveness and feasibility of this algorithm for collaborative hunting in multi-agent systems, presenting a novel strategy for addressing MAPE challenges.

关键词： Target tracking Heuristic algorithms Biomimetics Scalability Collaboration Prediction algorithms Robustness

来源：评论

学校读者我要写书评

暂无评论

Extraction of main factors affecting muscle fatigue in lower-limb rehabilitation 41

Extraction of main factors affecting muscle fatigue in lower...

引用

第41届中国控制会议

作者： Tiecheng Liu Rennong Wang Jinhua She Juan Zhao Hiroshi Hashimoto Daisuke Chugo Graduate School of Engineering Tokyo University of Technology School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education School of Industrial Technology Advanced Institute of Industrial Technology Graduate School of Science and Technology Kwansei Gakuin University

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

This study extracted the main factors from a questionnaire,measurement results,and the analysis of sEMG signals to establish a method of evaluating muscle *** measured factors(rating of perceived exertion,heart rate,mileage) and five factors obtained from the analysis of sEMG signals(root mean square,mean absolute value,variance,times of zero crossing,median frequency) were *** the F-test,the correlation analysis,and the principal component analysis,we finally extracted six factors as the main factors that have a big influence on muscle fatigue.

关键词： correlation analysis F-test lower-limb rehabilitation muscle fatigue principal component analysis rehabilitation statistical analysis surface electromyography(sEMG)

来源：评论

学校读者我要写书评

暂无评论

Optimization of the Landslide Susceptibility Model based on Deep Forest and Twice-Sample

Optimization of the Landslide Susceptibility Model based on ...

引用

2022 Chinese Automation Congress, CAC 2022

作者： Yang, Yuelin Yu, Wanke Liu, Zepeng Zhao, Lingran Lu, Chengda Wu, Min Niu, Ruiqing China University of Geosciences School of Automation Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China Ministry of Education Engineering Research Center of Intelligent Technology for Geo-Exploration Wuhan China China University of Geosciences Institute of Geophysics and Geomatics Wuhan China

ISBN: (纸本)9781665465335

In the analysis of regional landslide susceptibility, the geological data used usually have the characteristics of multiplicity and nonlinearity. At the same time, in the past researches, the selection of non-landslide units in the training set is usually random or subjective, and there is no guarantee sample accuracy. In this paper, the deep forest algorithm combined with the twice-sample method is used to evaluate the landslide susceptibility in the Zigui Badong area of the Three Gorges Reservoir area. First, 11 landslide impact factors were selected according to the geological data to initially construct a sample set, and the cleaned data set was obtained by twice-sample. After dividing the training set and the test set, the deep forest model was used to predict the landslide susceptibility and evaluate the accuracy. The results show that the AUC of the susceptibility prediction model built using the deep forest is 1%-10% higher than that of GBDT, MLP and other methods, while the Twice-Sample method improves the AUC by 2%. © 2022 IEEE.

关键词： Landslides

来源：评论

学校读者我要写书评

暂无评论

SLOPER4D: A Scene-Aware Dataset for Global 4D Human Pose Estimation in Urban Environments

SLOPER4D: A Scene-Aware Dataset for Global 4D Human Pose Est...

引用

Conference on Computer Vision and Pattern Recognition (CVPR)

作者： Yudi Dai Yitai Lin Xiping Lin Chenglu Wen Lan Xu Hongwei Yi Siqi Shen Yuexin Ma Cheng Wang Fujian Key Laboratory of Sensing and Computing for Smart Cities Xiamen University Key Laboratory of Multimedia Trusted Perception and Efficient Computing Ministry of Education of China School of Informatics Xiamen University ShanghaiTech University China Max Planck Institute for Intelligent Systems Germany

We present SLOPER4D, a novel scene-aware dataset collected in large urban environments to facilitate the research of global human pose estimation (GHPE) with human-scene interaction in the wild. Employing a head-mounted device integrated with a LiDAR and camera, we record 12 human subjects' activities over 10 diverse urban scenes from an egocentric view. Frame-wise annotations for 2D key points, 3D pose parameters, and global translations are provided, together with reconstructed scene point clouds. To obtain accurate 3D ground truth in such large dynamic scenes, we propose a joint optimization method to fit local SMPL meshes to the scene and fine-tune the camera calibration during dynamic motions frame by frame, resulting in plausible and scene-natural 3D human poses. Even-tually, SLOPER4D consists of 15 sequences of human motions, each of which has a trajectory length of more than 200 meters (up to 1,300 meters) and covers an area of more than 200 m 2 (up to 30,000 m 2 ), including more than 100k LiDAR frames, 300k video frames, and 500k IMU-based motion frames. With SLOPER4D, we provide a detailed and thorough analysis of two critical tasks, including camera-based 3D HPE and LiDAR-based 3D HPE in urban environments, and benchmark a new task, GHPE. The in-depth analysis demonstrates SLOPER4D poses significant challenges to existing methods and produces great research opportunities. The dataset and code are released at http://***/sloper4d/.

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：