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第36届中国控制会议

作者： Yunong Zhang Huihui Gong Jian Li Binbin Qiu Min Yang School of Information Science and Technology Sun Yat-sen University Key Laboratory of Autonomous Systems and Networked Control Ministry of Education

ISBN: (纸本)9781538629185

Time-varying problems are widely encountered in various engineering fields,such as signal processing,construction monitoring,and ***,traditional arithmetics intrinsically aim at time-invariant problems *** running on relatively low-speed processing units,traditional arithmetics may generate quite large and unacceptable lagging *** this paper,the problems of discrete time-varying four fundamental operations(TVFFO) are *** order to eliminate the lagging errors,based on Zhang dynamics(ZD) and Euler forward difference(EFD) formula,discrete computing models,which are named Euler-implemented discrete ZD(EIDZD) models,are proposed and *** that the EIDZD models are with an error pattern 0(g),where g denotes the sampling ***,illustrative numerical experiments of EIDZD models are also conducted,which show the high accuracy of EIDZD models.

关键词： Time-varying four fundamental operations（TVFFO） Zhang dynamics（ZD） Continuous time-varying models Euler forward difference（EFD） Euler-implemented discrete ZD（EIDZD） models Numerical experiments

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An Early Stage Researcher's Primer on systems Medicine Terminology

Network and Systems Medicine

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Network and systems Medicine 2021年第1期4卷 2-50页

作者： Zanin, Massimiliano Aitya, Nadim A.A. Basilio, José Baumbach, Jan Benis, Arriel Behera, Chandan K. Bucholc, Magda Castiglione, Filippo Chouvarda, Ioanna Comte, Blandine Dao, Tien-Tuan Ding, Xuemei Pujos-Guillot, Estelle Filipovic, Nenad Finn, David P. Glass, David H. Harel, Nissim Iesmantas, Tomas Ivanoska, Ilinka Joshi, Alok Boudjeltia, Karim Zouaoui Kaoui, Badr Kaur, Daman Maguire, Liam P. McClean, Paula L. McCombe, Niamh De Miranda, João Luís Moisescu, Mihnea Alexandru Pappalardo, Francesco Polster, Annikka Prasad, Girijesh Rozman, Damjana Sacala, Ioan Sanchez-Bornot, Jose M. Schmid, Johannes A. Sharp, Trevor Solé-Casals, Jordi Spiwok, Vojtěch Spyrou, George M. Stalidzans, Egils Stres, Blaa Sustersic, Tijana Symeonidis, Ioannis Tieri, Paolo Todd, Stephen Van Steen, Kristel Veneva, Milena Wang, Da-Hui Wang, Haiying Wang, Hui Watterson, Steven Wong-Lin, Kongfatt Yang, Su Zou, Xin Schmidt, Harald H.H.W. Centro de Tecnología Biomédica Universidad Politécnica de Madrid Madrid Spain Intelligent Systems Research Centre School of Computing Engineering and Intelligent Systems Ulster University Ulster United Kingdom Center for Physiology and Pharmacology Institute of Vascular Biology and Thrombosis Research Medical University of Vienna Vienna Austria TUM School of Life Sciences Weihenstephan Technical University of Munich Freising Germany Holon Israel CNR National Research Council IAC Institute for Applied Computing Rome Italy Lab of Computing Medical Informatics and Biomedical Imaging Technologies School of Medicine Aristotle University of Thessaloniki Thessaloniki Greece Université Clermont Auvergne INRAE UNH Plateforme d'Exploration du Métabolisme MetaboHUB Clermont Clermont-Ferrand France Université de Technologie de Compiègne Compiègne France Labex MS2T Control of Technological Systems-of-Systems CNRS and Université de Technologie de Compiègne Compiègne France Faculty of Engineering University of Kragujevac Kragujevac Serbia Kragujevac Serbia Steinbeis Advanced Risk Technologies Institute Doo Kragujevac Kragujevac Serbia Pharmacology and Therapeutics School of Medicine Galway Neuroscience Centre National University of Ireland Galway Ireland School of Computing Ulster University Ulster United Kingdom Holon Israel Department of Mathematics and Natural Sciences Kaunas University of Technology Kaunas Lithuania Faculty of Computer Science and Engineering Ss. Cyril and Methodius University Skopje Macedonia Medicine Faculty Université Libre de Bruxelles CHU de Charleroi Charleroi Belgium Northern Ireland Centre for Stratified Medicine Biomedical Sciences Research Institute Ulster University Ulster United Kingdom Escola Superior de Tecnologia e Gestão Instituto Politécnico de Portalegre Portalegre Portugal Instituto Superior Técnico Universidade de Lisboa Lisboa Portugal Faculty of Automatic Control and Computers University Politehnica of B

Background: systems Medicine is a novel approach to medicine, that is, an interdisciplinary field that considers the human body as a system, composed of multiple parts and of complex relationships at multiple levels, and further integrated into an environment. Exploring systems Medicine implies understanding and combining concepts coming from diametral different fields, including medicine, biology, statistics, modeling and simulation, and data science. Such heterogeneity leads to semantic issues, which may slow down implementation and fruitful interaction between these highly diverse fields. Methods: In this review, we collect and explain more than100 terms related to systems Medicine. These include both modeling and data science terms and basic systems medicine terms, along with some synthetic definitions, examples of applications, and lists of relevant references. Results: This glossary aims at being a first aid kit for the systems Medicine researcher facing an unfamiliar term, where he/she can get a first understanding of them, and, more importantly, examples and references for digging into the topic. © Massimiliano Zanin et al., 2021;Published by Mary Ann Liebert, Inc. 2021.

关键词： Semantics

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key Technologies of Time-Sensitive Networking and Its Application

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IOP Conference Series: Materials Science and Engineering 2020年第4期782卷

作者： Qing Li Dong Li Xinbo Sun Key Laboratory of Networked Control System Chinese Academy of Sciences Shenyang 110016 China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang 110016 China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang 110016 China University of Chinese Academy of Sciences Beijing 100049 China

Network is the core element of many industrial and automation systems. In the future, more attention will be paid to convergent and unified network. Time-critical traffic and non-time-critical traffic need to share communication channels. The goal of the IEEE TSN task group is to extend the existing Ethernet standard to achieve a degree of certainty that meets the hard-real-time requirements of modern control networks in the industrial automation and automotive industries. Time sensitive network (TSN) is characterized by low jitter, low delay and deterministic transmission. It can transmit critical and non-critical traffic in the same network, which is very suitable for time- critical applications with high requirements on transmission delay. This paper briefly summarizes the key components of TSN, studies the key technologies, and carries out a simple traffic scheduling experiment on the switch based on 802.1Qbv function, and finally analyzes the application of TSN in industrial automation and automobile industry.

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Object Recognition, Localization and Grasp Detection Using a Unified Deep Convolutional Neural Network with Multi-task Loss

Object Recognition, Localization and Grasp Detection Using a...

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IEEE International Conference on robotics and Biomimetics

作者： Qun Jia Zhiqiang Cao Xionglei Zhao Lei Pang Yingying Yu Junzhi Yu State Key Laboratory of Management and Control for Complex Systems University of Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781728103785;9781728103778

Recognize an object and detect a good grasp in unstructured scenes is still a challenge. In this paper, the problem of detecting robotic grasps is expressed by a two-point representation in an unstructured scene with an RGB-D camera. A deep Convolutional Neural Network is designed to predict good grasps in real-time on GTX1080, with using region proposal techniques. A contribution of this work is our proposed network framework can perform classification, location and grasp detection simultaneously so that in a single step, it not only recognizes the category and bounding-box of the object, but also finds a good grasp line. Besides, in training process, we minimize a multi-task loss objective function of object classification, location and grasp detection in order to train the network end-to-end. Our experimental evaluation on a real robotic manipulator demonstrates that the robotic manipulator can fulfill the grasping task effectively.

关键词： Feature extraction Task analysis Robot kinematics Object recognition Manipulators Grasping

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GPS/SINS/MC Integrated Navigation Algorithm Research Based on Zero Velocity Update 36

GPS/SINS/MC Integrated Navigation Algorithm Research Based o...

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第36届中国控制会议

作者： Fuchun Liu Shengjie Cao Yifeng Chen Xuan Su College of Automation Science and Engineering the Key Laboratory of Autonomous Systems and Networked Control（ASNC）Ministry of EducationSouth China University of Technology

ISBN: (纸本)9781538629185

The navigation output accuracy of SINS/GPS integrated navigation system will decline when GPS is not *** Velocity Update（ZUPT） technology is used for the error correction in this *** a relevant algorithm,the zero velocity detection algorithm is applied in the carrier *** method has achieved an integrated navigation system filtering algorithm based on *** simulation and experiment results show that the algorithm effectively improves the accuracy of navigation by limiting the velocity value of GPS in zero-velocity condition.

关键词： Integrated Navigation Zero Velocity Update Kalman Filter

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Exponential input-to-state stability of stochastic fuzzy delayed Cohen-Grossberg neural networks under impulsive perturbations

Exponential input-to-state stability of stochastic fuzzy del...

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第37届中国控制会议

作者： Weisong Zhou Hao Zeng Donghai Wu Key Lab of Intelligent Analysis and Decision on Complex Systems Chongqing University of Posts and Telecommunications Key Laboratory of Industrial Internet of Things and Networked Control Ministry of EducationChongqing University of Posts and Telecommunications

In this paper,we study a class of stochastic fuzzy delayed Cohen-Grossberg neural networks under impulsive *** Razumikhin method and iteration technique,some sufficient conditions ensuring the mean-square exponential input-to-state stability of the designed delayed neural networks are *** results can generalize and improve some earlier publications.A numerical example is demonstrated to verify the theoretical results.

关键词： Impulsive Stochastic Cohen-Grossberg neural networks Exponential input-to-state stability

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Research on Indoor Robot SLAM of RBPF Improved with Geometrical Characteristic Localization 29

Research on Indoor Robot SLAM of RBPF Improved with Geometri...

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第29届中国控制与决策会议

作者： Liu Fuchun Chen Yifeng Li Yunze College of Automation Science and Engineering the Key Laboratory of Autonomous Systems and Networked Control(ASNC)Ministry of EducationSouth China University of Technology

ISBN: (纸本)9781509046584

LIDAR and odometer are used as the main sensors in this paper, with the two-wheeled self-balancing robot as the research and experiment platform, this topic has researched the way to SLAM when the robot is in unfamiliar environment with uncertain position and orientation. On the issue of setting the dynamic threshold value to zone the LIDAR scanning points in the process of constructing the geometry map, with the consideration of the character of RPLIDAR which is used in our research, this paper has analyzed and proposed the specific dynamic threshold values, which make the zoning of LIDAR scanning points more reasonable. In order to improve the robustness of SLAM, we have used regular particle filter(RPF) as the location algorithm. In order to solve the problem of unable to add auxiliary information under the traditional MCL framework, we have taken full use of the high accuracy character of the geometry matching and locating, and have used the result of it to improve the importance density function of RPF. Based on the idea of Rao-Blackwellization, the improved RBPF-SLAM has been proposed. The validity and feasibility of the improved RBPF-SLAM have been proved with simulations and experiments.

关键词： Simultaneous Localization and Mapping LIDAR robot particle filter

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Accurate Estimation of Gait Altitude Using One Wearable IMU Sensor

Accurate Estimation of Gait Altitude Using One Wearable IMU ...

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IEEE International Conference on Micro/Nano Sensors for AI, Healthcare, and robotics

作者： Jiaqi Liang Hongjun Duan Jinli Li Hui Sun Xiaopeng Sha Yuliang Zhao Lianqing Liu School of Control Engineering Northeastern University at Qinhuangdao State key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences

ISBN: (纸本)9781538694091;9781538694084

We present a novel method of estimating gait altitude by using the acceleration and angular velocity data obtained from a single Inertial Measurement Unit (IMU) sensor. High-precision foot tracking and vertical positioning were achieved by using this method. The inherent drifts of IMU sensors, which may cause cumulative errors for position estimation, were reduced by using our algorithm. Firstly, a multitude-threshold detection method was used to determine the stance phase and swing phase in gait movement. Secondly, a zero-velocity update was performed in the stance phase to minimize the drift error when the single foot is stationary. Finally, in the swing phase, the motion direction was represented by quaternion, and the gait altitude was estimated using a method that combines a Complementary Filter (CF) algorithm and a Target-error Compensation algorithm. Experimental results show that this method can effectively reduce inherent drifts of wearable IMU sensors and ensure accurate estimation of gait altitude.

关键词： Acceleration Estimation Legged locomotion Wearable sensors Gyroscopes Robot sensing systems

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Reconfigurable control Design Based on Complete Parametric Approach for Spacecraft Rendezvous 36

Reconfigurable Control Design Based on Complete Parametric A...

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第36届中国控制会议

作者： Guangren Duan Qin Zhao State Key Laboratory of Robotics and System(HIT) Center for Control Theory and Guidance Technology Harbin Institute of Technology

ISBN: (纸本)9781538629185

This paper studies the problem of reconflgurable fault tolerant controller design for linear time-invariant systems with measurement unavailability based on a complete parametric *** attention is focused on completely recovering eigenvalues of the pre-fault system by resynthesizing an output feedback controller while the restrictions on assignable eigenvalues of existing results are ***,the complete parametric method is introduced to give the parametric expressions for all output feedback matrices with the advantage of guaranteeing the stability of the reconfigured ***'s more,reconflgurable controllers for the spacecraft rendezvous system are studied as the example in cases of different measurement failure ***,numerical calculations are given and results show the effectiveness of the proposed method.

关键词： Reconfigurable control Spacecraft Rendezvous Measurement Unavailability Complete Parametric Approach Output Feedback

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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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