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Coalition formation problem: a capability-centric analysis and general model

Science China(Information Sciences) 2024年第11期67卷 180-193页

作者： Jie CHEN Miao GUO Bin XIN Qing WANG Shengyu LU Yipeng WANG Yulong DING School of Automation Beijing Institute of Technology National Key Lab of Autonomous Intelligent Unmanned Systems Department of Control Science and Engineering Tongji University

Coalition formation(CF) refers to reasonably organizing robots and/or humans to form coalitions that can satisfy mission requirements, attracting more and more attention in many fields such as multirobot collaboration and human-robot collaboration. However, the analysis on CF problems remains *** provide a valuable study reference for researchers interested in CF, this paper proposed a capabilitycentric analysis of the CF problem. The key problem elements of CF are firstly extracted by referencing the concepts of the 5W1H method. That is, objects(who) form coalitions(what) to accomplish missions(why) by aggregating capabilities(how) in a specific environment(where-when). Then, a multi-view analysis of these elements and their correlation in terms of capabilities is proposed through various logic diagrams, structure charts, etc. Finally, to facilitate a deeper understanding of capability-centric CF, a general mathematical model is constructed, demonstrating how the different concepts discussed in this analysis contribute to the overall model.

关键词： coalition formation capability aggregation capability metric mission requirement environmental effect

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Parametric Geoinformational Models 27

Parametric Geoinformational Models

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27th International Conference on Soft Computing and Measurements, SCM 2024

作者： Verkhova, Galina V. Akimov, Sergej V. Department of Intelligent Automation and Control Systems Saint-Petersburg Russia

ISBN: (纸本)9798350363708

A methodology for parametric multi-aspect models of spatially distributed objects is presented. The proposed models make it possible to present attribute information of hierarchical spatially distributed objects and geosystems, taking into account the relationships between hierarchy levels, as well as the values of expert parameters and parameters obtained as a result of monitoring. Another important feature of parametric geographic information models is their support for generalization and the ability to use them to create multi-scale objects. © 2024 IEEE.

关键词： Information theory

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Closed-Loop Identification of Luré systems 63

Closed-Loop Identification of Luré Systems

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63rd IEEE Conference on Decision and control, CDC 2024

作者： Bendtsen, Jan Aalborg University Automation and Control Department of Electronic Systems Denmark

ISBN: (纸本)9798350316339

This paper presents an extension of the so-called 'Hansen scheme' for turning closed-loop system identification into open-loop-like identification to a class of discrete-time nonlinear systems with sector-bounded nonlinearities in the state equation. In order to deploy the Hansen scheme, it is necessary to know the existence of a dual Youla-Kucera parametrization of all plants controlled by an observer-based controller. We deduce the existence of such a parametrization based on the solution of a pair of Linear Matrix Inequalities, combined with some differential boundedness arguments. The dual Youla-Kucera parameter may be identified in a number of different ways;in the paper, two examples are presented. © 2024 IEEE.

关键词： Linear matrix inequalities

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Real-time tracking of fast-moving object in occlusion scene

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Journal of systems Engineering and Electronics 2024年第3期35卷 741-752页

作者： LI Yuran LI Yichen ZHANG Monan YU Wenbin GUAN Xinping Department of Automation Shanghai Jiao Tong UniversityShanghai 200240China Key Laboratory of Systems Control and Information Processing Ministry of Education of ChinaShanghai 200240China

Tracking the fast-moving object in occlusion situations is an important research topic in computer vision. Despite numerous notable contributions have been made in this field,few of them simultaneously incorporate both object's extrinsic features and intrinsic motion patterns into their methodologies,thereby restricting the potential for tracking accuracy improvement. In this paper, on the basis of efficient convolution operators(ECO) model, a speed-accuracy-balanced model is put forward. This model uses the simple correlation filter to track the object in real-time, and adopts the sophisticated deep-learning neural network to extract high-level features to train a more complex filter correcting the tracking mistakes, when the tracking state is judged to be poor. Furthermore, in the context of scenarios involving regular fast-moving, a motion model based on Kalman filter is designed which greatly promotes the tracking stability, because this motion model could predict the object's future location from its previous movement pattern. Additionally,instead of periodically updating our tracking model and training samples, a constrained condition for updating is proposed,which effectively mitigates contamination to the tracker from the background and undesirable samples avoiding model degradation when occlusion happens. From comprehensive experiments, our tracking model obtains better performance than ECO on object tracking benchmark 2015(OTB100), and improves the area under curve(AUC) by about 8% and 32% compared with ECO, in the scenarios of fast-moving and occlusion on our own collected dataset.

关键词： speed-accuracy balanced motion modeling constrained updater

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A zeroth-order algorithm for distributed optimization with stochastic stripe observations

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Science China(Information Sciences) 2023年第9期66卷 297-298页

作者： Yinghui WANG Xianlin ZENG Wenxiao ZHAO Yiguang HONG School of Automation and Electrical Engineering University of Science and Technology Beijing Key Laboratory of Intelligent Control and Decision of Complex Systems School of Automation Beijing Institute of Technology Key Laboratory of Systems and Control Academy of Mathematics and Systems Science Chinese Academy of Sciences Department of Control Science and Engineering Tongji University

Recent years have seen a rising interest in distributed optimization problems because of their widespread applications in power grids, multi-robot control, and regression *** the last few decades, many distributed algorithms have been developed for tackling distributed optimization problems. In these algorithms, agents over the network only have access to their own local functions and exchange information with their neighbors.

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A Recursive System Identification With Non-Uniform Temporal Feedback Under Coprime Collaborative Sensing

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ASME Letters in Dynamic systems and control 2023年第2期3卷 021010页

作者： Ouyang, Jinhua Chen, Xu Mechatronics Automation and Control Systems Laboratory Department of Mechanical Engineering University of Washington SeattleWA98195 United States Mechatronics Automation and Control Systems Laboratory Department of Mechanical Engineering University of Washington SeattleWA98195 United States

We present a system identification method based on recursive least-squares (RLS) and coprime collaborative sensing, which can recover system dynamics from non-uniform temporal data. Focusing on systems with fast input sampling and slow output sampling, we use a polynomial transformation to reparameterize the system model and create an auxiliary model that can be identified from the non-uniform data. We show the identifiability of the auxiliary model using a Diophantine equation approach. Numerical examples demonstrate successful system reconstruction and the ability to capture fast system response with limited temporal feedback. Copyright © 2023 by ASME.

关键词： Feedback

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control valve simulation method integrable into the global gradient algorithm

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ISH Journal of Hydraulic Engineering 2025年第1期31卷 1-7页

作者： Sivakumar, P. Gorev, N.B. Gorev, V.N. Kodzhespirova, I.F. Shedlovsky, I.A. Itanagar India Department for Functional Elements of Control Systems Institute of Technical Mechanics Dnipro Ukraine Department of Physics Dnipro University of Technology Dnipro Ukraine Department of Automation and Computer Systems Dnipro University of Technology Dnipro Ukraine

This paper presents a refinement of a method that simulates flow- and pressure-regulating valves by replacing them with pipes and adjusting the resistances (diameters) of those pipes to meet the valve settings. The method, referred to as the replacing pipe method (RPM), is readily integrable into the global gradient algorithm, which is the heart of the commonly used EPANET 2 water distribution system modeling software. The RPM proved to be more robust, yet slower than the EPANET 2 valve handling heuristics. In this work, the RPM was modified to increase its computational speed. The modification involved the RPM check valve handling algorithm and condition for updating the diameters of the valve-replacing pipes. The modified RPM was tested as part of a hybrid simulator, which switches from the EPANET 2 valve handling heuristics to the RPM when the former fails. The test networks included a large network with thousands of nodes, pipes, and valves, and a case of an ill-posed problem. As the testing showed, the modified RPM offers a significant reduction in the number of iterations compared to its previous version. © 2024 Indian Society for Hydraulics.

关键词： Safety valves

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Expert algorithm to optimize the process of selecting a topic for a research project with the assistance of ChatGPT 6

Expert algorithm to optimize the process of selecting a topi...

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6th International Congress on Human-Computer Interaction, Optimization and Robotic Applications, HORA 2024

作者： Rashidov, Aldeniz Department of Automation information and control systems Technical University of Gabrovo Gabrovo Bulgaria

ISBN: (纸本)9798350394634

This paper presents the development of an expert algorithm aimed at optimizing the process of selecting a topic for a research project by integrating ChatGPT capabilities with research expertise. The algorithm aims to support researchers and scientists by providing a structured approach to select relevant and appropriate research topics based on current trends in the field, the interests and capabilities of the research team. The research reveals the potential of AI to significantly improve the efficiency and quality of scientific processes by rapidly analyzing huge data sets and providing personalized recommendations that are aligned with team goals. The work highlights the importance of continuously embedding innovation in academia to ensure meaningful advances and quality research in the future. © 2024 IEEE.

关键词： Decision making

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An Algorithm to Support the Review Process of a Scientific Research Project Proposal Using ChatGPT 8

An Algorithm to Support the Review Process of a Scientific R...

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8th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2024

作者： Rashidov, Aldeniz Department of Automation information and control systems Technical University of Gabrovo Gabrovo Bulgaria

ISBN: (纸本)9798350354423

Reviewing scientific research project proposals (SRPPs) is essential for the development of scientific knowledge and innovation. Traditional peer review methods often face challenges such as significant drafting time, subjective evaluations, and a shortage of qualified reviewers, which reduce the quality of reviews. With the development of artificial intelligence, the potential for improving the peer review process is being discovered. This study proposes and evaluates an algorithm to assist the peer review process using ChatGPT. The algorithm aims to optimize the review process by automating the analysis, generating objective scores using weighting coefficients, SWOT analysis and providing feedback on various aspects of project proposals. The study analyses the effectiveness of the algorithm through a SWOT analysis that highlights its strengths, weaknesses, opportunities and threats. The algorithm may be useful for reviewers, researchers and academic institutions seeking to enhance the effectiveness and objectivity of SRPP evaluation. © 2024 IEEE.

关键词： Algorithm Artificial Intelligence ChatGPT Evaluation Project Review SWOT Analysis

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Automating Citation Formatting in Scientific Publications Using ChatGPT 1

Automating Citation Formatting in Scientific Publications Us...

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1st Asian Conference on Communication and Networks, ASIANComNet 2024

作者： Rashidov, Aldeniz Technical University of Gabrovo Department of Automation Information and Control Systems Gabrovo Bulgaria

ISBN: (纸本)9798350367003

In academic writing, the accuracy of citation formatting in scientific publications is essential for maintaining the integrity and consistency of scientific communication. However, manually formatting citations according to different styles, such as the IEEE, APA, or MLA, can be time-consuming and error-prone. This paper presents an innovative approach to automate citation formatting in scientific publications using ChatGPT. It proposes an algorithm that incorporates a sequence of instructions and guidance, combined with the capabilities of ChatGPT, and greatly simplifies the process of formatting citations according to different styles. The proposed approach involves training ChatGPT with a dataset containing citation guides and examples from different formatting styles to improve its ability to generate correctly formatted citations. This work presents a comparative characterization of the existing automated citation formatting systems and the proposed algorithm with ChatGPT. Their functionalities are analyzed and their advantages and disadvantages are highlighted. In addition, a SWOT analysis of the systems is performed, which examines their strengths, weaknesses, opportunities, and threats. The analysis highlights the effectiveness and advantages of the proposed solution with ChatGPT. The results show that automation using ChatGPT not only facilitates accurate citation formatting but also offers a practical tool for improving the quality and relevance of scientific publications. ChatGPT can significantly reduce formatting errors and improve the efficiency of academic writing, offering a scalable solution for researchers and institutions. © 2024 IEEE.

关键词： automation

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