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16th APCA International Conference on Automatic control and Soft Computing, controlO 2024

作者： M’zoughi, Fares Aboutalebi, Payam Ahmad, Irfan Rouch, Tahereh Bagheri Garrido, Izaskun Garrido, Aitor J. De La Sen, Manuel Automatic Control Group—ACG Institute of Research and Development of Processes—IIDP Department of Automatic Control and Systems Engineering Faculty of Engineering of Bilbao—EIB/BIE University of the Basque Country—UPV/EHU Po Rafael Moreno no. 3 Bilbao48013 Spain Automatic Control Group—ACG Institute of Research and Development of Processes IIDP Department of Electricity and Electronics Faculty of Science and Technology University of the Basque Country—UPV/EHU Bo Sarriena s/n Leioa48080 Spain

ISBN: (纸本)9783031817236

This paper introduces a novel approach to model and stabilize a Floating Offshore Wind Turbine (FOWT) by employing Oscillating Water Columns (OWC) as an active structural control system. The innovative concept involves designing a new floating barge-like platform with integrated OWCs on opposite sides of the platform to mitigate undesired oscillations of the system. These OWCs counteract the bending forces caused by wind on the tower and waves on the barge platform. To synchronize the opposing forces with the system’s tilting, a proposed Adaptive Neuro-Fuzzy Inference System-based airflow control strategy is employed. Through manipulation of the barge platform’s pitch angle, the ANFIS airflow control system adjusts the valves on either side, opening one and closing the other accordingly. Simulation results, compared with a standard FOWT demonstrate the effectiveness of the ANFIS airflow control. It is shown to be superior in reducing platform pitching and the fore-aft translation of the tower top. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Active Structural control Air Valve Airflow control ANFIS Barge Platform Floating Offshore Wind Turbine Oscillating Water Column

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Hierarchical Continual Learning for Domain-Knowledge Retention in Healthcare Federated Learning

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IEEE Transactions on Consumer Electronics 2025年

作者： Iqbal, Saeed Zhong, Xiaopin Khan, Muhammad Attique Wu, Zongze AlHammadi, Dina Abdulaziz Liu, Weixiang Choudhry, Imran Arshad Shenzhen University College of Mechatronics and Control Engineering Shenzhen518060 China Prince Mohammad Bin Fahd University Department of AI Alkhobar Saudi Arabia Princess Nourah bint Abdulrahman University College of Computer and Information Sciences Department of Information Systems Riyadh11671 Saudi Arabia University of Central Punjab Faculty of Information Technology and Computer Science Department of Software Engineering Lahore Pakistan

Internet of Medical Things (IoMT) applications encounter issues with data protection, continual adaptation, and domain-specific knowledge retention, especially in consumer-centric IoMT scenarios. We overcome these obstacles and facilitate effective knowledge retention and task adaptation in IoMT applications. This study attempts to create a unique privacy-preserving federated learning framework that combines a hierarchical learning structure with Continual Learning (CL). Despite the advancements in Federated Learning (FL), current models have trouble integrating changing datasets in real-time while protecting privacy, as well as catastrophic forgetting, which occurs when previously learned knowledge is lost when adjusting to new tasks. We present a hierarchical learning framework that makes use of three levels of models -Junior Model (JM), Consultant Model (CM), and Senior Consultant Model (SCM) -to overcome these drawbacks. Each level of the model aids in archived retention and domain-knowledge adaptation. To guarantee that the model maintains valuable information over time and adapts to new tasks with ease, our method blends domain adaptation strategies with ongoing learning approaches like knowledge distillation and elastic weight consolidation (EWC). We compare the suggested methodology with current state-of-the-art (SOTA) models on healthcare datasets for tasks like illness diagnosis and medical image categorization. According to our findings, the hierarchical continual learning model performs better than SOTA techniques in terms of accuracy, task adaptability, and privacy protection. In the healthcare industry, our study sets a new standard for privacy-preserving, continuously adaptable federated learning systems, allowing for real-time, scalable IoMT applications that can adapt dynamically to a variety of changing datasets. © 1975-2011 IEEE.

关键词： Patient treatment

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"Hydrogen and Materials Characteristic in Solids V"

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Nippon Kinzoku Gakkaishi/Journal of the Japan Institute of Metals 2023年第4期87卷 95-95页

作者： Ichikawa, Takayuki Miyaoka, Hiroki Hino, Makoto Horikawa, Keitaro Kanadani, Teruto Graduate School of Advanced Science and Engineering Hiroshima University Higashi Hiroshima739–8527 Japan Natural Science Center for Basic Research and Development Hiroshima University Higashi Hiroshima739–8530 Japan Department of Mechanical Systems Engineering Faculty of Engineering Hiroshima Institute of Technology Hiroshima731–5193 Japan Department of Mechanical Science and Bioengineering Graduate School of Engineering Science Osaka University Toyonaka560–8531 Japan Faculty of Engineering Okayama University of Science Okayama700–0005 Japan

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Tracking Trajectory by Using The Polynomial Method for ACC System Based on Smart Car Platform

Tracking Trajectory by Using The Polynomial Method for ACC S...

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International Conference on engineering of Modern Electric systems (EMES)

作者： Duc Lich Luu Nguyen Viet Hung Ciprian Lupu Faculty of Transportation Mechanical Engineering University of Science and Technology The University of Danang Da Nang Vietnam Faculty of Information Technology East Asia University of Technology Bac Ninh VietNam Department of Automatic Control and Systems Engineering University Politehnica of Bucharest Bucharest Romania

A well-known advanced driver assistance technology that can be employed for that is the Adaptive Cruise control System (ACC). Cars equipped with ACC system are to control the car speed to follow a driver's set speed closely when there is no leading car. When a slower leading car is present based on distance sensor, the ACC controlled car are able to keep desired distance with respect to the position and velocity of the car in front. This paper presents a design methodology of Adaptive Cruise control (ACC) system for two smart car platform consist of the leading smart car and a host smart car move on a single lane on a laboratory installation. RST algorithm in the multi algorithms structure is proposed to design in real-time architecture for ACC system. RST algorithm is one of the most effective solutions for the real-time control of nonlinear systems or working regimes. The results of the experiment have been conducted to illustrate the effectiveness of the proposed algorithm.

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Real Time Sound Source Localization Using von-Mises ResNet

Real Time Sound Source Localization Using von-Mises ResNet

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IEEE/SICE International Symposium on System Integration

作者： Mert Bozkurtlar Benjamin Yen Katsutoshi Itoyama Kazuhiro Nakadai Department of Systems and Control Engineering School of Engineering Tokyo Institute of Technology Tokyo Japan Department of Industrial Engineering Faculty of Management Istanbul Technical University Harbiye Maçka/Beşiktaş/İstanbul Türkiye Department of Computer Engineering Faculty of Computer and Informatics Engineering Istanbul Technical University Ayazaga Sariyer/İstanbul Türkiye Japan Society for the Promotion of Science (JSPS) at the Nakadai Lab Tokyo Institute of Technology Honda Research Institute Japan Co. Ltd Saitama Japan

This paper addresses the task of learning periodic information using deep neural networks to achieve real-time, environment-independent sound source localization. Previous papers showed phase data is the most significant cue in sound source localization tasks and the proposed vM-B DNN was validated to be able to handle such periodic information using on synthesized data. However, they haven't shown its effectiveness and robustness in realistic use cases. This paper introduces a more complex model based on residual networks and adapts vM-B activation function for convolutional layers for use cases that require real-time predictions in dynamically changing environments.

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Data-driven control of consensus tracking for discrete-time multi-agent systems

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Journal of the Franklin Institute 2023年第7期360卷 4661-4674页

作者： Xiufeng Zhang Gang Wang Jian Sun Faculty of Mechanical and Electrical Engineering Kunming University of Science and Technology Kunming 650504 China Yunnan International Joint Laboratory of Intelligent Control and Application of Advanced Equipment Kunming 650504 China School of Automation Beijing Institute of Technology Beijing 100081 China Key Lab of Intelligent Control and Decision of Complex Systems Beijing 100081 China

This paper investigates the consensus tracking problem of leader-follower multi-agent systems. Different from most existing works, dynamics of all the agents are assumed completely unknown, whereas some input-output data about the agents are available. It is well known from the Willems et al. Fundamental Lemma that when inputs of a linear time-invariant (LTI) system are persistently exciting, all possible trajectories of the system can be represented in terms of a finite set of measured input-output data. Building on this idea, the present paper proposes a purely data-driven distributed consensus control policy which allows all the follower agents to track the leader agent’s trajectory. It is shown that for a linear discrete-time multi-agent system, the corresponding controller can be designed to ensure the global synchronization with local data. Even if the data are corrupted by noises, the proposed approach is still applicable under certain conditions. Numerical examples corroborate the practical merits of the theoretical results.

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A Little Chit-Chat Goes a Long Way: Design and Evaluation of Task-and Person-Oriented Styles for Social Robots

A Little Chit-Chat Goes a Long Way: Design and Evaluation of...

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IEEE International Workshop on Robot and Human Communication (ROMAN)

作者： Elie Saad Joost Broekens Mark A. Neerincx Department of Intelligent Systems Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology Delft The Netherlands School of Engineering Holy Spirit University of Kaslik Jounieh Lebanon The Leiden Institute of Advanced Computer Science Leiden University Leiden The Netherlands The Netherlands Organization for Applied Scientific Research (TNO) Soesterberg The Netherlands

ISBN: (数字)9798350375022

ISBN: (纸本)9798350375039

Whereas the reception task is a promising application domain for social robots, knowledge is lacking about how to design the appropriate re-usable communication styles for a reception robot. This paper presents the use and evaluation of an iterative interaction-design (ID) method with which task- and person-oriented multi-modal communication styles have been designed for such a robot. First, we report on an evaluation study of the ID-method with Industrial Design students (N =13) who designed these two communication styles for a Pepper robot. This provided a set of distinct designs of the two styles, for which the differences in design parameters were in line with social science theory. The task-oriented style showed a more formal, shorter and less chatty communication. Second, we present findings from a Mechanical Turk study conducted to evaluate the perception of these style designs. Participants (N =301) were presented with videos showing the robot acting as a receptionist and were asked to rate their perception of the robot, the service experience and the orientation of the designs. Overall, the interaction with the robot was appreciated well. The robot with a person-oriented style was perceived to be more animate and likeable. Analysis showed that chit-chat was the main contributor to the perceived difference between the person-oriented and task-oriented styles. This is an important finding as it gives interaction designers a validated best-practice approach to make interaction style more or less personal.

关键词： Service robots Social robots Design tools Behavioral sciences Iterative methods Robots Videos

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Comprehensive Insight into the Mechanism, Material Selection and Performance Evaluation of Supercapatteries

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Nano-Micro Letters 2020年第7期12卷 43-88页

作者： Saravanakumar Balasubramaniam Ankita Mohanty Suresh Kannan Balasingam Sang Jae Kim Ananthakumar Ramadoss School for Advanced Research in Polymers Laboratory for Advanced Research in Polymeric MaterialsCentral Institute of Plastics Engineering and TechnologyBhubaneswar 751024India Department of Materials Science and Engineering Faculty of Natural SciencesNorwegian University of Science and Technology(NTNU)Trondheim 7491Norway Nanomaterials and Systems Laboratory Major of Mechatronics EngineeringFaculty of Applied Energy SystemJeju National UniversityJeju 63243Republic of Korea

Electrochemical energy storage devices(EESs)play a crucial role for the construction of sustainable energy storage system from the point of generation to the end user due to the intermittent nature of renewable ***,to meet the demand for next-generation electronic applications,optimizing the energy and power densities of EESs with long cycle life is the crucial *** e orts have been devoted towards the search for new materials,to augment the overall performance of the *** there are a lot of ongoing researches in this field,the performance does not meet up to the level of commercialization.A further understanding of the charge storage mechanism and development of new electrode materials are highly *** present review explains the overview of recent progress in supercapattery devices with reference to their various *** di erent charge storage mechanisms and the multiple factors involved in the performance of the supercapattery are described in ***,recent advancements in this supercapattery research and its electrochemical performances are ***,the challenges and possible future developments in this field are summarized.

关键词： Supercapattery Energy density Power density Redox materials Carbon materials

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Forty Plus Years of Model Reduction and Still Learning

Forty Plus Years of Model Reduction and Still Learning

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IEEE Conference on Decision and control

作者： A. Astolff C. L. Beck D. Bhattacharjee Y. Kawano A. Moreschini H. Sandberg J. M. A. Scherpen Department of Electrical and Electronic Engineering Imperial College London United Kingdom Dipartimento di Ingegneria Civile e Ingegneria Informatica Università di Roma “Tor Vergata” Italy Univ. of Illinois at Urbana-Champaign Illinois USA Graduate School of Advanced Science and Engineering Hiroshima University Japan KTH Royal Institute of Technology Stockholm Sweden Jan C. Willems Center for Systems and Control Engineering and Technology Institute Groningen Faculty of Science and Engineering University of Groningen Netherlands

ISBN: (数字)9798350316339

ISBN: (纸本)9798350316346

The approximation of complex dynamical systems models by reduced order models has been considered an important research problem for over four decades, not only in the field of control, but also in economics, image processing, circuit analysis, statistical mechanics, aircraft structures, and more recently in hybrid energy systems, to name just a sampling of fields. In this paper, we provide an overview of the development of balanced truncation and interpolation approaches for reducing linear and non-linear dynamical systems models for the purpose of control analysis and design.

关键词： Economics Analytical models Interpolation Biological system modeling Atmospheric modeling Image processing Reduced order systems Integrated circuit modeling Dynamical systems Circuit analysis

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LogisticsVISTA: 3D Terminal Delivery Services With UAVs, UGVs and USVs Based on Foundation Models and Scenarios engineering

LogisticsVISTA: 3D Terminal Delivery Services With UAVs, UGV...

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2024 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2024

作者： Tian, Yonglin Lin, Fei Zhang, Xinyuan Ge, Jingwei Wang, Yutong Dai, Xingyuan Lv, Yisheng Wang, Fei-Yue University of Chinese Academy of Sciences Beijing100049 China Tsinghua University Department of Automation Beijing100084 China Institute of Automation Chinese Academy of Sciences State Key Laboratory of Multimodal Artificial Intelligence Systems State Key Laboratory for Management and Control of Complex Systems Beijing100190 China Macau University of Science and Technology Faculty of Innovation Engineering Department of Engineering Science 999078 China

Intelligent logistics with autonomous vehicles is promising to improve the efficiency of rapidly expanding delivery systems. However, complex environments, diverse packages, and irregular human interaction have imposed challenges to the application of unmanned delivery vehicles. Combining various forms of vehicles and developing knowledge-driven delivery services have been the key to further facilitating the upgrading of logistics systems. In this paper, we propose an integrated framework named LogisticsVISTA (Logistics on Vehicles with Intelligent systems for Transport Automation) comprised of UAVs (Unmanned Aerial Vehicles), UGVs (Unmanned Ground Vehicles), and USVs (Unmanned Surface Vehicles) to provide timely and flexible 3D delivery services. In LogisticsVISTA, we design Large language models (LLMs) and large multimodal models (LMMs) for task planning, active perception, autonomous decision, and human-machine interaction. Besides, virtual-real integrated parallel scenarios are constructed to provide the playing ground for embodied agents efficiently and flexibly. © 2024 IEEE.

关键词： Drones

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