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Event-Triggered Consensus for Multiple Nonholonomic Systems

Journal of Systems Science & Complexity 2018年第5期31卷 1227-1243页

作者： LI Miao LIU Zhongxin CHEN Zengqiang College of Computer and Control Engineering Nankai University Tianjin 300350 China Tianjin Key Laboratory of Intelligent Robotics Nankai University Tianjin 300350 China.

The paper investigates the consensus problem of multiple nonholonomic systems. Two event-triggered control strategies, one centralized and the other distributed, are developed, which can reduce the frequency of control updating. Under the proposed protocols, the multiple nonholonomic systems can achieve consensus, and the bound of inter-event time intervals is provided to illustrate that no Zeno behavior exists. Finally, numerical simulations are also provided to demonstrate the effectiveness of the proposed control strategies.

关键词： Consensus event-triggered control multiple nonholonomic systems.

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Dense r-robust formations on lattices

Dense r-robust formations on lattices

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IEEE International Conference on robotics and Automation (ICRA)

作者： Luis Guerrero-Bonilla David Saldaña Vijay Kumar Division of Decision and Control Systems in the School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm Sweden Autonomous and Intelligent Robotics Laboratory (AIRLab) Lehigh University Bethlehem PA USA GRASP Laboratory University of Pennsylvania

ISBN: (数字)9781728173955

ISBN: (纸本)9781728173962

Robot networks are susceptible to fail under the presence of malicious or defective robots. Resilient networks in the literature require high connectivity and large communication ranges, leading to high energy consumption in the communication network. This paper presents robot formations with guaranteed resiliency that use smaller communication ranges than previous results in the literature. The formations can be built on triangular and square lattices in the plane, and cubic lattices in the three-dimensional space. We support our theoretical framework with simulations.

关键词： Lattices Robot kinematics Communication networks Robustness Robot sensing systems Energy consumption

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Information Modeling and Verification Method for Edge Computing of Power Internet of Things

Information Modeling and Verification Method for Edge Comput...

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IEEE Joint International Information Technology and Artificial Intelligence Conference (ITAIC)

作者： Dawei Li Xiaolu Chen Chunhe Song Shimao Yu Start Grid Shanghai Information & Telecommunication Company Shanghai China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Key Laboratory of Networked Control Systems Chinese Academy of Sciences Shenyang China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China

ISBN: (数字)9781728152448

ISBN: (纸本)9781728152455

There are various types of power Internet of Things terminals, and a unified edge-side information fusion model is the basis of data unification. This article describes the unified modeling method of power Internet of Things terminal information, and describes the construction method of the Internet of Things terminal information model from three aspects: attribute, message and service. Combined with the characteristics of the electric power Internet of Things information model, a model verification method is given. Finally, through the terminal data on the edge side of the power Internet of Things, the feasibility and effectiveness of the model verification method are verified.

关键词： Analytical models Computational modeling Data models Power systems Internet of Things Information technology Edge computing

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Distributed computing framework of intelligent sensor network for electric power internet of things

Distributed computing framework of intelligent sensor networ...

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IEEE Joint International Information Technology and Artificial Intelligence Conference (ITAIC)

作者： Dawei Li Ruimo Yu Chunhe Song Shu Li Gengtao Jia Xiaoli Zhou Start Grid Shanghai Information & Telecommunication Company Shanghai China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Key Laboratory of Networked Control Systems Chinese Academy of Sciences Shenyang China Chinese Academy of Sciences Institutes for Robotics and Intelligent Manufacturing Shenyang China

ISBN: (数字)9781728152448

ISBN: (纸本)9781728152455

The power IoT terminal environment is complex, and current smart sensor sensors have problems such as poor networking capabilities and large processing delays, and few specific edge-side automatic networking capabilities. This paper analyzes and elaborates the distributed intelligent sensor computing framework from the perspective of edge intelligent networking, designs a computing model for intelligent sensors of power Internet of Things terminals, and gives the edge-based deployment of convolutional neural network architecture, data aggregation, model training, and intelligent reasoning. Finally, the validity of the proposed framework model is verified by public sample data.

关键词： Training Analytical models Computational modeling Data aggregation Data models Internet of Things intelligent sensors

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Bayesian-based anomaly detection in the industrial processes ⁎

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IFAC-PapersOnLine 2020年第2期53卷 11729-11734页

作者： Yijun Pan Zeyu Zheng Dianzheng Fu Shenyang Institute of Automation Chinese Academy of Sciences Shenyang 110016 Liaoning China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang 110016 Liaoning China Key Laboratory of Network Control System Chinese Academy of Sciences Shenyang 110016 Liaoning China

In general, the industrial processes are semi-automatic, and are controlled by the operators. Since the operation principles of the industrial processes are complicated, it is difficult to label observations. The disturbances may be contained in the observations. Therefore, the unsupervised anomaly detection method is promising for research in the industrial processes. In the paper, a multivariate anomaly detection method is proposed, which is unsupervised and online. The priori probability of anomaly occurrence is necessary, and a hazard function selection method is defined at first. Secondly, Bayesian-based method is adopted for anomaly detection. In final, the Dempster-Shafer theory is introduced for fusing the univariate anomaly detection results. The numerical simulation is used for illustrating the anomaly detection power of the proposed method, and the TE process is implemented for testing the fault detection effectiveness. A real data set collected from a bathyscaphe is applied for demonstrating the power of leakage detection.

关键词： Anomaly detection Bayesian Dempster-Shafer theory Bathyscaphe TE process Change point detection Leakage detection

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Position control of XY precision planar motion table based on input shaping filter

Position control of XY precision planar motion table based o...

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International Conference on Electronics, Communications and Information Technology (CECIT)

作者： HuaLiang Zhang Xu Lu DanPing Jia BingJie Zhao Tao Zhang Yang Liu HongYu Yan Key Laboratory of Networked Control Systems Chinese Academy of Sciences Shenyang China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China School of Artificial Intelligence Shenyang University of Technology Shenyang China School of Information Science and Engineering Shenyang University of Technology Shenyang China

ISBN: (纸本)9781665437585

In order to solve the vibration problem of mining equipment, a Simulink simulation model of current loop, speed loop and position loop of permanent magnet synchronous motor was established to track the input position signal of the motor system.[1] At the same time, the input shaper is introduced into the motor three loop control model to study the vibration suppression effect of the input shaper.[2] The essence of the input shaper is to filter the input signal. Usually, the parameters of the input shaper need to be accurately identified and the detailed parameters of the system need to be identified. However, the problem that the identification accuracy of the system is not enough often makes the parameters of the shaper uncertain. In view of the problem that the system identification is not accurate, a method of adjusting and setting input shaper parameters is designed, which is not very dependent on the system. The results show that the optimal parameters of the shaper can be selected by the method. Compared with the parameters of the shaper selected according to the identification model, the vibration suppression effect is better.

关键词： Vibrations Analytical models Tracking loops Software packages Magnetic separation Transfer functions Position control

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Construction of Multilayer Porous Scaffold Based on Magnetically Guided Assembly of Microfiber

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Journal of Systems Science & Complexity 2018年第3期31卷 581-595页

作者： LI Xingfu WANG Huaping SHI Qing SUN Tao HUANG Qiang FUKUDA Toshio Intelligent Robotics Institute School of Mechatronical Engineering Beijing Institute of Technology Beijing 100081 China Key Laboratory of Biomimetic Robots and Systems Ministry of Education Beijing 100816 China Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing 100081 China

This paper proposes a novel method of magnetically guided assembly to construct multi- layer porous scaffold for three-dimensional cell culture by apply magnetic microfibers. Microfibers are composed of biocompatible and biodegradable alginate solution with homogeneous magnetic nanopar- ticles, which are continuously spun from a microfluidic device by precise pressure control of the syringe pump. Magnetic nanoparticles enable the control of magnetic field on microfibers. Meanwhile, mag- netized device combining with a round permanent magnet are utilized to guide the distribution of spouted microfibers. The device is composed by pure iron wire arrays and wax, which stimulates pow- erful magnetic flux density and magnetic field gradients for the capture and assembly of microfibers. Thus, magnetic microfibers are spun on desired places of the magnetized device by motion control of the micromanipulation robot, and precise locations are adjusted by magnetic force couple with the assist of glass micropipette. Afterwards, microfibers are spatially organized by periodic magnetic force and crossed layer-by-layer to form micro-pore structure with both length and width of 650μm. Finally, the authors construct a multilayer microfiber-based scaffold with high porosity to provide a satisfactory environment for long-term cell culture. The experimental results demonstrate the effectiveness of the proposed method.

关键词： Magnetically guided assembly magnetic microfiber magnetized device periodic magneticforce multilayer porous scaffold.

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A Non-Intrusive Appliances Load Monitoring Method Based on Hourly Smart Meter Data

A Non-Intrusive Appliances Load Monitoring Method Based on H...

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作者： Chunhe Song Zhongfeng Wang Shuji Liu Libo Xu Dapeng Zhou Peng Zeng Key Laboratory of Networked Control Systems Shenyang Institute of automationChinese Academy of Sciences Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences State Grid Liaoning Electric Power Co. Ltd.

Peak load management is very important for the electric power *** paper analyzes the impact of residential swimming pool pumps(RSPPs) on the peak *** this paper analyzes the challenges of non-intrusive energy consumption estimation for ***,a novel reference based change-point(RCP) model is proposed for non-intrusive SPPs energy consumption *** advantages of the proposed RCP model are that it does not require high sampling rate data or prior information of the *** show that during pool season,under the assumption that the ratio of base loads(defined as the power consumption which is independent of the outdoor temperature) of houses with and with PPs remains the same during no pool season and pool season,6.3%of the total energy is consumed by PPs,while under the assumption that for houses with and without PPs,the ratio of base loads is equal to the ratio of the temperature-dependent power consumption during pool season,9.08% of the total energy is consumed by ***,we show that by shifting PPs activity period,under the first assumption,at least 1.27% of peak demand can be reduced,while under the second assumption,at least 4.53% of peak demand can be reduced.

关键词： Smart grid Non-intrusive Appliances Load Monitoring Peak Load

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Advancing Embodied Intelligence in Robotic-Assisted Endovascular Procedures: A Systematic Review of AI Solutions

arXiv

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arXiv 2025年

作者： Yao, Tianliang Lu, Bo Kowarschik, Markus Yuan, Yixuan Zhao, Hubin Ourselin, Sebastien Althoefer, Kaspar Ge, Junbo Qi, Peng Department of Control Science and Engineering College of Electronic and Information Engineering Shanghai Institute of Intelligent Science and Technology Tongji University Shanghai200092 China Department of Electronic Engineering Faculty of Engineering The Chinese University of Hong Kong 999077 Hong Kong Robotics and Microsystems Center School of Mechanical and Electrical Engineering Soochow University Suzhou215131 China Bavaria Forchheim91301 Germany CREATe Division of Surgery & Interventional Science UCL LondonHA7 4LP United Kingdom School of Biomedical Engineering & Imaging Sciences King’s College London LondonSE1 7EH United Kingdom Centre for Advanced Robotics @ Queen Mary School of Engineering and Materials Science Queen Mary University of London LondonE1 4NS United Kingdom Department of Cardiology Zhongshan Hospital Fudan University Shanghai Institute of Cardiovascular Diseases Shanghai200032 China State Key Laboratory of Cardiovascular Diseases Medical Innovation Center Shanghai East Hospital School of Medicine Tongji University Shanghai200092 China

Endovascular procedures have revolutionized the treatment of vascular diseases thanks to minimally invasive solutions that significantly reduce patient recovery time and enhance clinical outcomes. However, the precision and dexterity required during these procedures poses considerable challenges for interventionists. Robotic systems have emerged offering transformative solutions, addressing issues such as operator fatigue, radiation exposure, and the inherent limitations of human precision. The integration of Embodied Intelligence (EI) into these systems signifies a paradigm shift, enabling robots to navigate complex vascular networks and adapt to dynamic physiological conditions. Data-driven approaches, advanced computer vision, medical image analysis, and machine learning techniques, are at the forefront of this evolution. These methods augment procedural intelligence by facilitating real-time vessel segmentation, device tracking, and anatomical landmark detection. Reinforcement learning and imitation learning further refine navigation strategies and replicate experts’ techniques. This review systematically examines the integration of EI principles into robotic technologies, in relation to endovascular procedures. We discuss recent advancements in intelligent perception and data-driven control, and their practical applications in robot-assisted endovascular procedures. By critically evaluating current limitations and emerging opportunities, this review establishes a framework for future developments, emphasizing the potential for greater autonomy and improved clinical outcomes. Emerging trends and specific areas of research, such as federated learning for medical data sharing, explainable AI for clinical decision support, and advanced human-robot collaboration paradigms, are also explored, offering insights into the future direction of this rapidly evolving field. © 2025, CC BY.

关键词： Medical robotics

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Force-based Feedback for Haptic Device of Mobile Assembly Robot

Force-based Feedback for Haptic Device of Mobile Assembly Ro...

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International Workshop on Electric Drives: Optimization in control of Electric Drives (IWED)

作者： Aleksandr Lukin Galina L. Demidova Anton Rassõlkin Toomas Vaimann Hamid Roozbahani Faculty of Control System and Robotics ITMO University Saint Petersburg Russia Department of Electrical Power Engineering and Mechatronics Tallinn University of Technology Tallin Estonia Laboratory of Intelligent Machines Lappeenranta University of Technology Lappeenranta Finland

ISBN: (数字)9781728141589

ISBN: (纸本)9781728141596

This paper describes the control system for twin serial robot manipulators, installed on TIERA mobile robot, focusing in Robot Operating System (ROS) based control network and haptic feedback. Forward and inverse kinematics were used to translate the angular positions of Geomagic touch into joint angles of both UR10 manipulators. Force feedback allows the operator to sense forces applied to both grippers of robotic arms simultaneously using two Geomagic touch. Field tests of TIERA have shown that haptic feedback was established accurately, directions of forces inside the haptic device correspond with directions of forces affecting the gripper, and the current scaling coefficient is enough to sense forces on the haptic device.

关键词： Manipulators Robot sensing systems Robot kinematics Haptic interfaces Software

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