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IEEE PES Asia-Pacific Power and Energy engineering Conference (APPEEC)

作者： Caoyuan Ma Long Yan Zhenning Yang Wei Chen Xianqi Huang Tianyu Gao Jiangsu Province Laboratory of Mining Electric and Automation&School of Electrical and Power Engineering China University of Mining and Technology Xuzhou China School of Electrical and Power Engineering China University of Mining and Technology Xuzhou China School of Electrical Engineering & Automation Jiangsu Normal University Xuzhou China School of Information and Control Engineering China University of Mining and Technology Xuzhou China Department of Information and Electrical Engineering Xu Hai College of China University of Mining and Technology Xuzhou China

ISBN: (数字)9781728157481

ISBN: (纸本)9781728157498

Based on the theory of complex networks, this paper proposes a novel complex network model for power grids. With the help of the propagation mechanism of infectious diseases, the topology structure is analyzed from the perspective of the network, and the risk propagation process of the power grid is characterized in depth. On this basis, according to the complex network theory, we propose a better immunization strategy named the global immune strategy based on the two-round selection mechanism. This strategy is proposed to prevent the spread of power grid comparing with the classic immunization strategy risks. Finally, according to the proposed theory and effective methods, the IEEE39 node and IEEE118 node systems are simulated to verify the effectiveness of the proposed Immunization method for power grid risk propagation.

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A First Course in Feedback, Dynamics and control: Findings from 2019 Online Survey of the International control Community

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IFAC-PapersOnLine 2020年第2期53卷 17264-17275页

作者： J.A. Rossiter K. Zakova M. Huba A. Serbezov A. Visioli Department of Automatic Control and Systems Engineering University of Sheffield Sheffield UK Slovak University of Technology in Bratislava Faculty of Electrical Engineering and Information Technology Institute of Automotive Mechatronics Bratislava Slovakia Rose-Hulman Institute of Technology Terre Haute IN 47803 Department of Mechanical and Industrial Engineering University of Brescia Italy

This paper summarizes the results from a large-scale survey on the content and teaching philosophy of the first, and in many cases the only, control course taken by undergraduate students in engineering and applied sciences around the world. The IFAC Technical Committee on Education developed and administered the survey in 2019. At the time of writing, 201 control professionals have responded to the survey. The majority view is that the first course in control should focus on concepts and avoid excessive mathematical proofs. The responders ranked the depth of coverage of 63 topics commonly found in introductory control texts. Based on the ranking results, a sample curriculum for a first control course is outlined.

关键词： engineering education Automatic control curriculum Introductory control curriculum

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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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Implementing Industry 4.0 in Discrete Manufacturing: Options and Drawbacks

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IFAC-PapersOnLine 2018年第6期51卷 473-478页

作者： Arm, J. Zezulka, F. Bradac, Z. Marcon, P. Kaczmarczyk, V. Benesl, T. Schroeder, T. Department of Control and Instrumentation Faculty of Electrical Engineering and Communication Brno University of Technology Brno Czech Republic Institute for Automation Engineering Faculty of Electrical Engineering and Information Technology Otto von Guericke University Magdeburg Germany

The Industry 4.0 concept embodies a topic widely discussed during specialized meetings and tutorials. Originally, this approach was interpreted as an attempt to shift industrial processes towards establishing the fully digitized smart factory; at present, however, it already exerts an influence on many other fields and disciplines. In this article, the concept is described from the perspective of discrete manufacturing. The implementation possibilities are outlined, with options such as the Asset Administrative Shell or Consumer-Provider model introduced in greater detail. We also mention some drawbacks to implementing job shop scheduling as provided by the latter option; these disadvantages include, for instance, the deadlock situation. Some methods to solve the problem are demonstrated to facilitate well-balanced presentation. A job shop scheduling algorithm using the AAS is also addressed, and a new evaluation function is proposed. © 2018

关键词： Job shop scheduling Industry 4.0 Optimization Scheduling algorithms deadlock decentralized Discrete manufacturing Distributed control Evaluation function Industrial processs Manufacturing plant Well balanced

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Patient-specific Seizure Prediction with Scalp EEG Using Convolutional Neural Network and Extreme Learning Machine

Patient-specific Seizure Prediction with Scalp EEG Using Con...

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第三十九届中国控制会议

作者： Yingmei Qin Hailing Zheng Wei Chen Qing Qin Chunxiao Han Yanqiu Che Tianjin Key Laboratory of Information Sensing & Intelligent Control School of Automation and Electrical EngineeringTianjin University of Technology and Education IEEE Department of Neurosurgery Penn State College of Medicine

Seizure prediction can allow timely preventive measures for patients with epilepsy. In this study, we propose a hybrid model consisting of convolutional neural networks（CNNs） and an extreme learning machine（ELM） to predict seizures using scalp EEG. We first covert the EEG time series on 30-s windows into 2 D spectrograms using the short-time Fourier *** we apply CNNs to these images to extract features automatically. Finally, we use the ELM to classify preictal and interictal segments. The proposed method achieves sensitivity of 95.85% and a false prediction rate of 0.045/h on the Boston Children’s Hospital-MIT scalp EEG dataset.

关键词： Seizure Prediction EEG Convolutional Neural Networks Extreme Learning Machine

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A biarticular prosthetic foot to modulate gait biomechanics and improve walking economy

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Journal of biomechanics 2025年 189卷 112768页

作者： Bowen Li Julian Zeiss Florian Weigand Guoping Zhao Qitao Huang Martin Grimmer Department of Fluid Control and Automation Harbin institute of technology 92 Xidazhi Street Nangang District Harbin 150006 Heilongjiang China. Electronic address: li_bowen@***. Electrical Engineering and Information Technology Technical University of Darmstadt Landgraf-Georg-Str. 4 Darmstadt 64283 Hesse Germany. School of Mechanical Engineering Southeast University 2 Southeast University Road Jiangning District Nanjing 211189 Jiangsu China. Department of Fluid Control and Automation Harbin institute of technology 92 Xidazhi Street Nangang District Harbin 150006 Heilongjiang China. Electrical Engineering and Information Technology Technical University of Darmstadt Landgraf-Georg-Str. 4 Darmstadt 64283 Hesse Germany Institute for Sports Science Technical University of Darmstadt Magdalenenstr. 27 Darmstadt 64289 Hesse Germany.

While powered prosthetic feet with monoarticular actuation allow for the restoration of human ankle biomechanics, gait asymmetries and increased walking effort have been found for transtibial amputees. We hypothesize that this is because of the missing mechanical coupling between the foot and the thigh, which is realized in human legs by the biarticular gastrocnemius (GAS) muscle. This work investigated the effects of a powered prosthetic foot that includes a monoarticular powered prosthetic foot and a biarticular GAS actuator on nine non-impaired subjects while walking on a treadmill. While maintaining total ankle torque, we modulated the torque contribution ratio κ of the GAS actuator to the total ankle torque and recorded kinematics, kinetics and metabolic cost. We found a maximum reduction in metabolic cost by up to 8.8%±4.4% on average for a κ of 0.36±0.09. We attribute this reduction to (a) reduced biological hip work due to energy transfer from the GAS actuator to assist hip flexion, (b) increased inter-leg symmetry of center of mass collision and propulsive work, knee push-off work and step length and (c) increased efficiency of the center of mass movement caused by a reduction in contralateral leg collision work. Our study demonstrates that the biarticular actuator provides an additional degree of freedom that allows for the modulation of human gait biomechanics.

关键词： Bi-articular muscle CoM power Gait symmetry Metabolic cost Prosthetic foot

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Regret and cumulative constraint violation analysis for online convex optimization with long term constraints

arXiv

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arXiv 2021年

作者： Yi, Xinlei Li, Xiuxian Yang, Tao Xie, Lihua Chai, Tianyou Johansson, Karl H. School of Electrical Engineering and Computer Science and Digital Futures KTH Royal Institute of Technology Stockholm Sweden Department of Control Science and Engineering College of Electronics and Information Engineering Shanghai Research Institute for Intelligent Autonomous Systems Institute for Advanced Study Tongji University Shanghai China State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang China School of Electrical and Electronic Engineering Nanyang Technological University Singapore Singapore

This paper considers online convex optimization with long term constraints, where constraints can be violated in intermediate rounds, but need to be satisfied in the long run. The cumulative constraint violation is used as the metric to measure constraint violations, which excludes the situation that strictly feasible constraints can compensate the effects of violated constraints. A novel algorithm is first proposed and it achieves an O(Tmax{c,1-c}) bound for static regret and an O(T (1-c)/2) bound for cumulative constraint violation, where c ϵ (0, 1) is a user-defined trade-off parameter, and thus has improved performance compared with existing results. Both static regret and cumulative constraint violation bounds are reduced to O(log(T )) when the loss functions are strongly convex, which also improves existing results. In order to achieve the optimal regret with respect to any comparator sequence, another algorithm is then proposed and it achieves the optimal O( p T (1 + PT )) regret and an O(√T) cumulative constraint violation, where PT is the path-length of the comparator sequence. Finally, numerical simulations are provided to illustrate the effectiveness of the theoretical results. Copyright © 2021, The Authors. All rights reserved.

关键词： Comparators (optical)

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Machine learning for performance management of robot-assisted cerebral palsy training system

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AIP Conference Proceedings 2023年第1期2939卷

作者： Zhenli Lu Roumiana Ilieva Malinka Ivanova School of Electrical Engineering and Automation Changshu Institute of Technology Changshu 215500 P. R. China Department of Management and Business Information Systems Faculty of Management Technical University of Sofia Sofia Bulgaria Department of Informatics Faculty of Applied Mathematics and Informatics Technical University of Sofia Sofia Bulgaria

Machine learning algorithms are applied for measuring the performance of robot-assisted cerebral palsy rehabilitation training system. Such approach allows an analysis and predictions about the system reaction to be done with high accuracy. The rehabilitation training actions of children with cerebral palsy are focused on imagination and conscious control of the face, such as left or right exercises. The aim of the designed interface interaction module is to motivate and to improve the training enthusiasm of the children with cerebral palsy to continue with the rehabilitation therapy avoiding the thoughts about the pain, tiredness and discomfort. The robot is simulated in the platform CopeliaSim.

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Regret and Cumulative Constraint Violation Analysis for Distributed Online Constrained Convex Optimization

arXiv

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arXiv 2021年

作者： Yi, Xinlei Li, Xiuxian Yang, Tao Xie, Lihua Chai, Tianyou Johansson, Karl H. The Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm10044 Sweden The Digital Futures Stockholm10044 Sweden The Department of Control Science and Engineering College of Electronics and Information Engineering The Shanghai Research Institute for Intelligent Autonomous Systems Tongji University Shanghai China The State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang110819 China School of Electrical and Electronic Engineering Nanyang Technological University 50 Nanyang Avenue Singapore639798 Singapore

This paper considers the distributed online convex optimization problem with time-varying constraints over a network of agents. This is a sequential decision making problem with two sequences of arbitrarily varying convex loss and constraint functions. At each round, each agent selects a decision from the decision set, and then only a portion of the loss function and a coordinate block of the constraint function at this round are privately revealed to this agent. The goal of the network is to minimize the network-wide loss accumulated over time. Two distributed online algorithms with full-information and bandit feedback are proposed. Both dynamic and static network regret bounds are analyzed for the proposed algorithms, and network cumulative constraint violation is used to measure constraint violation, which excludes the situation that strictly feasible constraints can compensate the effects of violated constraints. In particular, we show that the proposed algorithms achieve O(T max{κ,1-κ}) static network regret and O(T 1-κ/2) network cumulative constraint violation, where T is the time horizon and κ ∈ (0, 1) is a user-defined trade-off parameter. Moreover, if the loss functions are strongly convex, then the static network regret bound can be reduced to O(T κ). Finally, numerical simulations are provided to illustrate the effectiveness of the theoretical results. Copyright © 2021, The Authors. All rights reserved.

关键词： Economic and social effects

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Development of power drive technology for high lift system of commercial aircraft

Development of power drive technology for high lift system o...

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CSAA/IET International Conference on Aircraft Utility Systems 2020, AUS 2020

作者： Liu, Tong Zhang, Yue Wang, Weida Ju, Jiachen Yu, Wenbin Department of Flight Control System Shanghai Aircraft Design and Research Institute 5188 Jinke Rd. Shanghai201210 China Department of Science and Technology Management Commercial Aircraft Corporation of China Ltd. 1919 Shibo Ave. Shanghai200126 China Department of Automation School of Electronic Information and Electrical Engineering Shanghai Jiaotong University 800 Dongchuan Rd. Shanghai200240 China

ISBN: (纸本)9781839535635

In this paper, the development of power driving technology for high lift system of modern commercial aircraft is presented. Three kinds of power driving technical schemes of high lift system are demonstrated together with their characteristics. Various applications of power drive technology on present mainstream aircrafts have been addressed and analyzed respectively. In addition to the analysis of existing power drive technology, this work presented that distributed electric power drive technology could be a potential future development trend. The paper can be read as a reference for selecting power driving technical scheme of high lift systems at conceptual design phase of a commercial aircraft. © 2020 Institution of engineering and technology. All rights reserved.

关键词： Conceptual design

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