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18th International Conference on Informatics in control, Automation and Robotics, ICINCO 2021

作者： Liu, Zonglin Omayrat, Muhammed Stursberg, Olaf Control and System Theory Department of Electrical Engineering and Computer Science University of Kassel Kassel Germany

ISBN: (纸本)9783031264733

This paper aims at applying optimal control principles to investigate optimal vaccination strategies in different phases of a pandemic. Background of the study is that many countries have started their vaccination procedures against the COVID-19 disease in the beginning of 2021, but supply shortages for the vaccines prevented that everyone could be vaccinated immediately. At the beginning of 2022, in contrast, the vaccine supply was ample, but the effectiveness of different existing vaccines to avoid infection by new virus variants was in doubt, as well as the acceptance of booster doses decreased over time. To account for these effects, two formulations of optimization tasks based on different epidemic models are proposed in this paper. The solution of these tasks determines optimal distribution strategies for available vaccines, and optimized vaccination schemes to reduce the need of booster doses for later phase. Effectiveness of these strategies compared with other popular strategies (as applied in practice) is demonstrated through a series of simulations © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Vaccines

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Improved Extrinsic Calibration of Acoustic Cameras via Batch Optimization

Improved Extrinsic Calibration of Acoustic Cameras via Batch...

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2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025

作者： Li, Zhi Wang, Jiang Li, Xiaoyang Kong, He Guangdong Provincial Key Laboratory of Fully Actuated System Control Theory and Technology Southern University of Science and Technology Shenzhen518055 China

ISBN: (纸本)9798350368741

Acoustic cameras have found many applications in practice. Accurate and reliable extrinsic calibration of the microphone array and visual sensors within acoustic cameras is crucial for fusing visual and auditory measurements. Existing calibration methods either require prior knowledge of the microphone array geometry or rely on grid search which suffers from slow iteration speed or poor convergence. To overcome these limitations, in this paper, we propose an automatic calibration technique using a calibration board with both visual and acoustic markers to identify each microphone position in the camera frame. We formulate the extrinsic calibration problem (between microphones and the visual sensor) as a nonlinear least squares problem and employ a batch optimization strategy to solve the associated problem. Extensive numerical simulations and real-world experiments show that the proposed method improves both the accuracy and robustness of extrinsic parameter calibration for acoustic cameras, in comparison to existing methods. To benefit the community, we open-source all the codes and data at https://***/AISLAB-sustech/AcousticCamera. © 2025 IEEE.

关键词： Acoustic camera Optimization Sensor calibration

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On the Qualitative Analysis of the Equations of Motion of a Rigid Body in a Magnetic Field

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Journal of Applied and Industrial Mathematics 2022年第1期16卷 58-69页

作者： Irtegov, V.D. Titorenko, T.N. Matrosov Institute for System Dynamics and Control Theory Siberian BranchRussian Academy of Sciences Irkutsk664033 Russia

Abstract: In the problem on the motion of a rigid body with a fixed point under the influence of amagnetic field generated by the Barnett–London effect as well as potential forces, the particularcases of existence of additional quadratic integrals are presented and the qualitative analysis of theequations of motion of the body is carried out in one of these cases. © 2022, Pleiades Publishing, Ltd.

关键词： Equations of motion

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Adaptive optimal output regulation: A parametric Lyapunov equation approach 5

Adaptive optimal output regulation: A parametric Lyapunov eq...

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5th International Conference on control, Robotics, and Intelligent system, CCRIS 2024

作者： ul Aabidin Lodhi, Zain Jiang, Huaiyuan Center for Control Theory and Guidance Technology Harbin Institute of Technology Harbin China National Key Laboratory of Complex System Control and Intelligent Agent Cooperation Harbin China

ISBN: (数字)9781510685871

ISBN: (纸本)9781510685864

This article delves into a data-driven approach for solving the adaptive optimal output regulation problem in continuous-time linear systems with uncertain dynamics. Employing a class of parametric Lyapunov equations in conjunction with a nominal system model, the initial stabilizing feedback gain is determined to initiate the iterative method. Then, by utilizing a policy-iteration-based technique, we design an optimal control policy to achieve precise output tracking and disturbance rejection. The prescribed convergence characteristics of the closed-loop system directly result from the properties embedded within the solution of the parametric Lyapunov equation. The applicability and performance of the proposed method are demonstrated through a numerical example involving an input-constrained double integrator system. © 2024 SPIE.

关键词： Continuous time systems

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How To Classify Document Segments Using Graph Based Representation and Neural Networks

How To Classify Document Segments Using Graph Based Represen...

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2024 Ivannikov Memorial Workshop, IVMEM 2024

作者： Kopylov, Daniil Mikhaylov, Andrey Matrosov Institute for System Dynamics and Control Theory of Siberian Branch of the Russian Academy of Sciences Irkutsk Russia Ivannikov Institute for System Programming of the Russian Academy of Sciences Moscow Russia

ISBN: (纸本)9798331504663

Bottom-up segmentation approaches, where words are combined into lines, lines into paragraphs, etc., are well-known nowadays. In this work, we use this principle for classification of segments. The features of the blocks that make up a segment and their relationships can be sufficient for classification. Our approach combines a specific choice of features that increases explainability by employing the generalizing ability of neural networks. This work presents an intermediate result, but, nevertheless, the 0.793 classification accuracy on the part of PubLayNet indicates the competitive potential of the approach. It is expected that, similar to the transition from MLP to CNN for MNIST, the transition from vector representation at our stage to GCN at the planned stage will allow us to achieve good results in document classification. © 2024 IEEE.

关键词： Graph neural networks

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Towards knowledge-based virtual assistant development with the aid of ontology transformations

Towards knowledge-based virtual assistant development with t...

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2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2022

作者： Dorodnykh, Nikita O. Nikolaychuk, Olga A. Stolbov, Aleksandr B. Yurin, Aleksandr Yu. Matrosov Institute for System Dynamics and Control Theory Irkutsk Russia

ISBN: (纸本)9781665464802

One of the challenges for the popularization of knowledge-based systems (KBS) is to be more user-friendly and involved in solving everyday tasks. A way to encourage users to apply KBSs more actively is the use of up-to-date achievements in the field of human-machine communication, in particular a special type of intelligent systems-virtual assistants. In this paper we present the roadmap ideas for proper upgradation of the Prototyping Expert systems based On Transformations (PESoT) technique for the virtual assistant facilities. This technique involves the use and transformation of conceptual models and ontologies for creating software and source codes. In this paper, we present computation-and platform-independent models (ontology of the dialog model, ontology for the Aimylogic tool) as well as correspondence examples for transformation implementation. © 2022 IEEE.

关键词： Ontology

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Software for Urban Space Researching with Public Data for Irkutsk 7th

Software for Urban Space Researching with Public Data for Ir...

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7th Computational Methods in systems and Software, CoMeSySo 2023

作者： Nikolaychuk, O.A. Kosogorov, D.E. Pestova, Yu. V. Matrosov Institute for System Dynamics and Control Theory of Siberian Branch of Russian Academy of Sciences Irkutsk Russia Irkutsk State University Irkutsk Russia

ISBN: (纸本)9783031535512

The research of urban space can help in city management by identifying patterns in the development of the city and finding the strengths and weaknesses of individual places and entire areas. The purpose of this work is to create a software (tool) for research. Data for the tool is gathered from open Internet data sources using parsing methods. After the gathering data is processed, the values are normalized, the current indicators are calculated, and reviews are analyzed with sentiment analysis methods. The processing results are provided to the user in the form of interactive dashboards that combine visualizations necessary for work. This tool can be used not only by people involved in urban space management but also by tourists to get a clear picture of which places are more popular and which ones are the best to visit based on their queries. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Attractors Data Gathering Data Normalization Data Visualization Sentiment Analysis

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Threshold Voltage Monitoring Method of SiC MOSFET Considering the Influence of Thermoelectric Coupling 10th

Threshold Voltage Monitoring Method of SiC MOSFET Considerin...

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10th Frontier Academic Forum of Electrical Engineering, FAFEE 2022

作者： Liu, Yulin Du, Mingxing Yin, Jinliang Wei, Yifan Tianjin Key Laboratory of Control Theory and Applications in Complicated System Tianjin University of Technology Tianjin300384 China

ISBN: (纸本)9789819934034

Silicon carbide has a wider band gap and higher interface trap density. The threshold voltage shift caused by bias temperature instability is a challenge to the reliability of SiC MOSFET. In practical applications, the threshold voltage will change in real time with the change of power loss and junction temperature caused by the cooling system. Therefore, it is necessary to monitor the threshold voltage shift considering BTI and junction temperature, which is of great significance to the reliability research of SiC MOSFET. In this paper, we first analyze the components and temperature sensitivity of SiC MOSFET on-state drain-source resistance, then study the influence mechanism of bias temperature instability on chip resistance, and finally propose to use SiC MOSFET chip drain-source on-state resistance to monitor the threshold voltage shift caused by the coupling of junction temperature and bias temperature instability. This method can directly obtain the shift threshold voltage through the chip drain source on state resistance. It is also suitable for SiC MOSFET modules with anti-parallel diodes. Considering the influence of temperature, this method can realize the accurate monitoring of threshold voltage under complex working conditions. © Beijing Paike Culture Commu. Co., Ltd. 2023.

关键词： Junction temperature

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Multi-Agent Reinforcement Learning with Region Division and Leader-Follower Communication

Multi-Agent Reinforcement Learning with Region Division and ...

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2024 China Automation Congress, CAC 2024

作者： Wang, Chao Xu, Xiang Shenzhen Key Laboratory of Control Theory and Intelligent Systems School of System Design and Intelligent Manufacturing Southern University of Science and Technology Shenzhen China

ISBN: (纸本)9798350368604

The integration of multi-agent reinforcement learning (MARL) into complex systems has paved new ways for collaborative problem-solving. However, traditional approaches to MARL frequently encounter the challenge of achieving efficient communication among agents, essential for coordinated action. This paper introduces a region division and leader-follower(RDLF) communication algrithm with the MARL framework. RDLF divides the environment into several regions, each managed by a leader agent that coordinates the actions of follower agents and handling inter-region communication. This hierarchical structure reduces unnecessary communication, enhancing learning efficiency. Experimental results in multi-particle environments demonstrate RDLF’s superiority over existing MARL algorithms, especially with increasing agent numbers. RDLF effectively addresses scalability and communication challenges in large-scale multi-agent systems, providing a robust foundation for its application in complex and dynamic environment. © 2024 IEEE.

关键词： Adversarial machine learning

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Multi-Level Robotic Pouring Using Offline Reinforcement Learning

Multi-Level Robotic Pouring Using Offline Reinforcement Lear...

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2024 IEEE International Conference on Robotics and Biomimetics, ROBIO 2024

作者： Zhang, Xiaoxiong Liu, Junwei Zhang, Wei School of System Design and Intelligent Manufacturing Southern University of Science and Technology Shenzhen Key Laboratory of Control Theory and Intelligent Systems Shenzhen518055 China

ISBN: (纸本)9781665481090

This paper presents a novel learning-based method for a robotic manipulator to achieve liquid pouring across different liquid levels using only visual sensors. Previous works have relied on either online reinforcement learning or imitation learning, which are limited by sim-to-real gaps or data efficiency. In this paper, we propose to combine supervised learning and offline reinforcement learning, utilizing a human demonstration dataset containing only successful pouring at the highest level. Specifically, our approach employs supervised learning for a visual classifier, transforming the visual input into a categorical distribution over liquid levels. The offline reinforcement learning method is applied to a binary-conditioned control policy, which takes a binary signal and the robot's proprioception as inputs to determine the action. The binary signal indicates whether the desired liquid level has been reached based on the target liquid level. Through experiments, our method demonstrates superior effectiveness compared to a state-of-the-art imitation learning algorithm. Moreover, tests in unseen scenarios and multiple liquid level commands verify the generalization and transferability of our approach. © 2024 IEEE.

关键词： Self-supervised learning

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