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7th International Symposium on Autonomous systems, ISAS 2024

作者： Yuan, Yiwei Xue, Qiming Cao, Yuan Yi, Yingmin Bai, Lei Xi'an University of Technology Faculty of Automation and Information Engineering Shaanxi Xian710048 China Xianyang Key Laboratory of New Energy and Microgrid System Department of Electrical Engineering Shanxi Polytechnic Institute Xianyang712000 China

ISBN: (纸本)9798350363173

Due to the high dimension of industrial process data, there are aliasing areas when building hyper-spheres of different types of data by the SVDD algorithm, which will lead to inaccurate results in condition identification. A data classification method based on Local Neighbor Density Similarity Support Vector Data Description (LNDS-SVDD) is proposed to address this issue. Utilizing the local similar density in discriminating data similarity, the LNDS-SVDD can further judge the classification of samples distributed in the aliasing area using the density information. In this paper, a randomly generated synthetic data set and a real industrial process data set is used for simulating the proposed data classification algorithm. The results indicate that the classification accuracy is high, which is an effective condition identification method for the industrial process. © 2024 IEEE.

关键词： Classification (of information)

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Self-Supervised Learning with Min-Max Distance Approach for Few-Shot Steel Surface Defects Recognition 43

Self-Supervised Learning with Min-Max Distance Approach for ...

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43rd Chinese control Conference, CCC 2024

作者： Wang, Tianlei Chen, Xinyao Li, Zeliang Zhou, Zhencai Zhou, Zhiheng Wuyi University School of Electronic and Information Engineering Jiangmen China Jiangmen Key Laboratory of Kejie Semiconductor Bonding Technology and Control System Jiangmen China Wuyi University School of Mechanical and Automation Engineering Jiangmen China Guangdong Province Kejie Machinery Automation Company Technical Department Jiangmen China

ISBN: (纸本)9789887581581

Surface defects in steel are crucial for quality inspection in the manufacturing of industrial metal products. While deep learning methods have been extensively studied in this field, the lack of large-scale annotated defect samples imposes significant labeling pressure, making training fully supervised deep models challenging. In response to this issue, we employ self-supervised learning for few-shot recognition, effectively learning representations from limited unlabeled data and achieving defect recognition with a small amount of labeled samples. In particular, we construct Other encoder with multi-view information and Base encoder with single view information based on the distillation self-supervised learning framework through the multi-crops mechanism, and the Other encoders and Base encoders perform information share. Our main contribution is that, based on this framework, we propose a new regularization method to solve the problem of instances deviating from the center of self-supervised clustering by minimizing the maximum instance distance (MMD). In testing, fine-tuning the MMD pre-trained model with a small number of labeled data achieves superior recognition performance on the steel surface defect dataset NEU, significantly outperforming other testing methods. © 2024 Technical Committee on control Theory, Chinese Association of automation.

关键词： Self-supervised learning

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Validation of Delayed Anesthesia Model Using Identification Methods and Correlation Analysis

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IFAC-PapersOnLine 2024年第27期58卷 172-177页

作者： Bora Ayvaz Erhan Yumuk Clara M. Ionescu Ali Fuat Ergenç Control and Automation Engineering Department Istanbul Technical University Istanbul 34469 Turkey Department of Electromechanics System and Metal Engineering Ghent University 9052 Ghent Belgium

Many successful control strategies for anesthetic processes do not adequately consider time delays despite potential 30-second delays from biophase and bispectral index (BIS) monitoring. This study introduces linear delayed Pharmacokinetic-Pharmacodynamic (PK-PD) patient models that correlate more to real patient outputs than common non-delayed models. The delayed models are obtained for both effect-site concentration (Ce) and BIS outputs. The model structures are identified using autoregressive exogenous input (ARX) and delayed-ARX (DARX) polynomial models and least squares estimations (LSE) using the real surgical data of the open-access database VitalDB. Validation of delayed PK-PD patient models involves using correlation analysis. Results indicate that PK-PD patient models with output delays exhibit higher correlations with real patient data, particularly when considering BIS output.

关键词： Time Delay Models General Anesthesia system Identification Correlation Analysis Closed-Loop control

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Development of a Simple Dielectric Equivalent Circuit Model from Polarization and Depolarization Current Measurements

Development of a Simple Dielectric Equivalent Circuit Model ...

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2024 IEEE IAS Industrial and Commercial Power system Asia, I and CPS Asia 2024

作者： Yutthagowith, Peerawut Nimsanong, Phethai Baba, Yoshihiro King Mongkut's Institute of Technology Ladkrabang School of Engineering Bangkok Thailand Power System Analysis Section Metropolitan Electricity Authority Department of Power System Control Bangkok Thailand Doshisha University Graduate School of Science and Engineering Kyoto Japan

ISBN: (纸本)9798350352290

Assessing insulation performance is vital for sustainable energy systems, which aim to minimize visual impact while ensuring reliability and resilience against weather-related disruptions. With increasing reliance on renewable energy sources, the importance of insulation performance becomes even more pronounced. Regular evaluations of insulation performance are critical for maintaining the safety, reliability, and resilience of electricity networks. By promptly identifying risks such as insulation degradation, utilities can improve maintenance practices, prioritize repairs, and enhance the integration of renewables, thereby boosting overall infrastructure performance. This paper introduces a straightforward and precise technique for determining the equivalent circuit parameters of insulation systems in high-voltage equipment. The proposed method facilitates the accurate determination of the dielectric loss factor from the equivalent circuit. To validate this approach, test cases were utilized to demonstrate its effectiveness. The results obtained through this method were then compared with those obtained using commercial software. The comparison reveals that the proposed approach results in a lower number of depolarization current branches compared to the commercial software. Also, it provides almost the same relative root mean square error and the lower root mean square relative error of the depolarization current. These findings underscore the appeal and effectiveness of the proposed method for determining the equivalent circuit of the dielectric model. © 2024 IEEE.

关键词： Depolarization

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Fixed-time supper twisting disturbance observer and sliding mode control for a secure communication of fractional-order chaotic systems

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JVC/Journal of Vibration and control 2024年第11-12期30卷 2568-2581页

作者： Nguyen, Quang Dich Vu, Dinh Dat Huang, Shyh-Chour Giap, Van Nam Institute for Control Engineering and Automation Hanoi University of Science and Technology Hai Ba Trung Hanoi100000 Viet Nam School of Electrical and Electronic Engineering Hanoi University of Science and Technology Hai Ba Trung Hanoi100000 Viet Nam Department of Mechanical Engineering National Kaohsiung University of Science and Technology Kaohsiung Taiwan

This paper proposed a new disturbance observer (DO) based on the fixed-time supper-twisting algorithm (FTSTA) for rejecting perturbations of secure communication of the fractional-order chaotic systems (FOCSs). First, the FOCSs are remodeled into the Takagi–Sugeno fuzzy (TSF) system with the expectation of softening the calculations of the design of the controller and observer. Second, the synchronization control was designed based on the FTSTA sliding mode control (SMC). Third, a new DO for the secure communication system (SCS) of FOCSs was proposed to estimate the disturbance on public channels and uncertainty variations. Fourth, the stability of the proposed synchronization control was obtained by using the Lyapunov condition. Finally, to verify the correction of the proposed method, the MATLAB simulation with the use of FONCOM toolbox was used to meet the desired expectations of theoretically proposed method. There are, small reaching times, small steady-states, and most tested disturbances and parameters’ variations were compensated by the proposed DO. © The Author(s) 2023.

关键词： Secure communication

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Line Feature Based Visual Servo control with TDE for Underwater Vehicle Manipulator systems Target Grasping

Line Feature Based Visual Servo Control with TDE for Underwa...

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2024 IEEE International Conference on Unmanned systems, ICUS 2024

作者： Zhang, Yunfei Bian, Xinyu Sun, Yize Zhang, Zongyu Huang, Hai Yang, Xu National Key Laboratory of Autonomous Marine Vehicle Technology Harbin Engineering University Harbin China State Key Laboratory of Management and Control for Complex System Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9798350384185

Underwater vehicle manipulator systems (UVMSs) is becoming a research hotspot in the field of marine intelligent equipment. Introducing visual feedback equipped with cameras in the loop to guide UVMS to complete the grasping has comprehensive advantages of response speed, work efficiency and intelligence. In this paper, mapping between the feature error and the motion of the UVMS generalized degrees of freedom is established to realize the suspended grasping under the coordinated motion of the vehicle body and the manipulator. Then, a UVMS motion control algorithm based on time delay estimation (TDE) is constructed for visual servo autonomous grasping process, the TDE of which is used to estimate and compensate the lumped interference in real time. The Lyapunov theory is applied to analyze its stability and its control performance is verified through simulation experiments. The simulation results shew the effectiveness of the proposed visual servo control with TED method based on line features. © 2024 IEEE.

关键词： Visual servoing

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Data-Based Soft Fault Diagnosis of a Three-Phase DC/AC Converter 7

Data-Based Soft Fault Diagnosis of a Three-Phase DC/AC Conve...

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7th IEEE International Electrical and Energy Conference, CIEEC 2024

作者： Chen, Cen Du, He Cai, Xi Wang, Haoran Zhai, Guofu Harbin Institute of Technology Department of Electrical Engineering and Automation Harbin China Engineering Corporation China Three Gorges Construction Chengdu China Three Gorges Intelligent Industrial Control Technology Company Wuhan China

ISBN: (纸本)9798350359558

With the widespread use of power electronic equipment, accurately identifying soft faults in power electronic converters is crucial for the stable and reliable operation of power electronic equipment. This paper proposed a soft fault diagnosis method for three-phase DC/AC converter using a data-based approach. Firstly, simulation analysis is conducted on the soft faults of three-phase DCI AC converter, and appropriate test signals are selected as data sources. Then, the LSTM neural network and its variants are used to obtain fault diagnosis models. Finally, the method is validated through experiments, and the results show that it has good performance in soft fault diagnosis of the three-phase DCI AC converter. © 2024 IEEE.

关键词： Failure analysis

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Sign consensus of heterogeneous linear multi-agent systems without an explicit leader 41

Sign consensus of heterogeneous linear multi-agent systems w...

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第41届中国控制会议

作者： Yihan Meng Shimin Wang Shuai Liu Hongwei Zhang School of Mechanical Engineering and Automation Harbin Institute of Technology Department of Chemical Engineering Queen's University School of Control Science and Engineering Shandong University

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

This paper investigates leaderless output sign consensus of heterogeneous linear multi-agent systems over fixed directed signed *** multi-agent system can synchronize in the same sign concurrently with time-varying values without an explicit *** on the assumption that the adjacency matrix of the signed graph is eventually positive,a virtual leader is constructed by utilizing a distributed sign *** virtual leader is not pre-specified but arises from the graph topology and the initial states of the *** light of this distributed sign observer,we propose a state feedback controller that drives the outputs of such multi-agent systems to reach sign consensus.

关键词： Distributed observer Multi-agent system Sign consensus Signed graph

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Oxidation-induced superelasticity in metallic glass nanotubes

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Nature Materials 2024年第1期23卷 52-57页

作者： Li, Fucheng Zhang, Zhibo Liu, Huanrong Zhu, Wenqing Wang, Tianyu Park, Minhyuk Zhang, Jingyang Bönninghoff, Niklas Feng, Xiaobin Zhang, Hongti Luan, Junhua Wang, Jianguo Liu, Xiaodi Chang, Tinghao Chu, Jinn P. Lu, Yang Liu, Yanhui Guan, Pengfei Yang, Yong Department of Mechanical Engineering College of Engineering City University of Hong Kong Kowloon Tong Hong Kong Institute of Physics Chinese Academy of Sciences Beijing China Songshan Lake Materials Laboratory Dongguan China Beijing Computational Science Research Center Beijing China Department of Material Science and Engineering National Taiwan University of Science and Technology Taipei Taiwan Department of Materials Science and Engineering College of Engineering City University of Hong Kong Kowloon Tong Hong Kong College of Mechatronics and Control Engineering Shenzhen University Shenzhen China Department of Mechanical Engineering The University of Hong Kong Pok Fu Lam Hong Kong Department of System Engineering College of Engineering City University of Hong Kong Kowloon Tong Hong Kong

Although metallic nanostructures have been attracting tremendous research interest in nanoscience and nanotechnologies, it is known that environmental attacks, such as surface oxidation, can easily initiate cracking on the surface of metals, thus deteriorating their overall functional/structural properties 1–3. In sharp contrast, here we report that severely oxidized metallic glass nanotubes can attain an ultrahigh recoverable elastic strain of up to ~14% at room temperature, which outperform bulk metallic glasses, metallic glass nanowires and many other superelastic metals hitherto reported. Through in situ experiments and atomistic simulations, we reveal that the physical mechanisms underpinning the observed superelasticity can be attributed to the formation of a percolating oxide network in metallic glass nanotubes, which not only restricts atomic-scale plastic events during loading but also leads to the recovery of elastic rigidity on unloading. Our discovery implies that oxidation in low-dimensional metallic glasses can result in unique properties for applications in nanodevices. © 2023, The Author(s), under exclusive licence to Springer Nature Limited.

关键词： Metallic glass

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Artificial-Intelligence-Based Quantitative Fault Diagnosability Analysis of Spacecraft: An Information Geometry Perspective

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2023年第4期4卷 624-635页

作者： Wang, Dayi Fu, Fangzhou Yu, Han Chu, Weimeng Wu, Zhigang Li, Wenbo China Academy of Space Technology Beijing Institute of Spacecraft System Engineering Beijing100094 China Sun Yat-sen University School of Aeronautics and Astronautics Shenzhen518107 China Harbin Institute of Technology Department of Control Science and Engineering Harbin150001 China Dalian University of Technology School of Aeronautics and Astronautics Dalian116024 China China Academy of Space Technology Beijing Institute of Control Engineering Beijing100190 China

To provide a theoretical foundation for the design of spacecraft and a reference for their on-orbit adjustment, this study develops methods for the quantitative diagnosability analysis of spacecraft through the introduction of a Riemannian manifold and artificial intelligence into a diagnosability analysis framework. These developed methods have three main advantages. First, they do not rely on any assumption regarding the statistical distribution of the observations. Second, all types of faults can be analyzed without information loss. Third, the computational burden is reduced, making it possible to perform on-orbit fault diagnosability analysis. The effectiveness and feasibility of the proposed methods are then verified via a numerical simulation and a spacecraft attitude control system. © 2020 IEEE.

关键词： Spacecraft

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