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2023 International Conference on Image, Signal Processing, and Pattern Recognition, ISPP 2023

作者： Wu, Jie Yang, Zuoyun Liu, Jiahui Chi, Jiannan School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing100083 China Engineering Research Center of Intelligence Perception and Autonomous Control Ministry of Education Beijing100124 China

ISBN: (纸本)9781510666351

Gaze tracking can be divided into two-dimensional (2-D) gaze-estimation method and three-dimensional (3-D) gaze-estimation method. 3-D gaze-estimation method can simplify user calibration and track gaze under full free head movement. To solve the shortage of traditional 3-D gaze-estimation method, this paper proposes a 3-D eyeball optical axis (OA) reconstruction method for single-camera multi-source head-mounted system. The method directly calculates the vector of the OA from the pupil image on the basis of the corneal center, and then reconstructs the eyeball OA. The results of simulation experiments show the effectiveness of the method. © 2023 SPIE.

关键词： Eye tracking

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Sensitivity Analysis of Thermal Runaway Side Reaction of Lithium Batteries Based on Morris Method 9

Sensitivity Analysis of Thermal Runaway Side Reaction of Lit...

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9th International Symposium on System Security, Safety, and Reliability, ISSSR 2023

作者： Man, Zhiyi Wang, Shaoping Zhang, Chao Zhu, Yun Beihang University School of Automation Science and Electrical Engineering Beijing100191 China AECC Aero-Engine Control System Institute Jiangsu Wuxi214100 China

ISBN: (纸本)9798350302479

In the field of electric vehicles, the safety of power lithium-ion batteries is a socially important issue, and the study of thermal runaway of lithium batteries is now gradually becoming more in-depth. In this paper, the output parameters are up-dimensioned. Using a global sensitivity analysis method based on the Moms screening method, the influence of 11 parameters such as volume of the cell(vBt), mass of the cell(mBt) and electrolyte concentration (W_e) on the thermal runaway process of Li-ion batteries is analyzed, and the variation of 10 variables such as temperature(T) and carbon dioxide gas (CO2) produced in the thermal runaway side reaction heat generation process and chemical reaction gas generation process over time is investigated under the influence of the parameter factors. In the study, the sensitivity of the parameters over a time interval is investigated in the rising dimension of the time domain. The results show that the overall effect of the parameters on the thermal process;for the output variables of the thermal process, they are mainly affected by the mass of the cell (m_Bt), the thickness of the SEI film (t_sei) and the specific heat capacity of the cell(Cp_Bt), while the chemical process is not significantly affected by the different parameters;among all the parameters, the volume (V_Bt) of the cell interacts most strongly with the other parameters for all the output variables. Finally, the results of the sensitivity analysis of the thermal runaway side reactions of the battery will be applied to the subsequent 3D simulation study. © 2023 IEEE.

关键词： Lithium-ion batteries

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Fixed-Time Consensus-Based Nash Equilibrium Seeking

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IEEE/CAA Journal of Automatica Sinica 2024年第1期11卷 267-269页

作者： Mengwei Sun Jian Liu Lu Ren Changyin Sun the Institutes of Physical Science and Information Technology Anhui UniversityHefei 230601China IEEE the School of Automation and the Key Laboratory of Measurement and Control of Complex System of Engineering Ministry of EducationSoutheast UniversityNanjing 210096China the School of Artificial Intelligence and the Engineering Research Center of Autonomous Unmanned System Technology Ministry of EducationAnhui UniversityHefei 230601China

Dear Editor,This letter examines the fixed-time stability of the Nash equilibrium(NE)in non-cooperative *** propose a consensus-based NE seeking algorithm for situations where players do not have perfect information and communicate via a topology *** proposed algorithm can achieve NE in a fixed time that does not depend on initial conditions and can be adjusted in advance.

关键词： Fixed seeking letter

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On a novel tracking differentiator design based on iterative learning in a moving window

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control Theory and Technology 2023年第1期21卷 46-55页

作者： Xiangyang Li Rafal Madonski Zhiqiang Gao Senping Tian Key Laboratory of Autonomous Systems and Network Control Ministry of EducationSchool of Automation Science and EngineeringSouth China University of TechnologyGuangzhou 510641China Energy and Electricity Research Center Jinan UniversityZhuhai 519070China Department of Electrical and Computer Science Cleveland State UniversityClevelandOH 44115USA

Differential signals are key in control engineering as they anticipate future behavior of process variables and therefore are critical in formulating control laws such as proportional-integral-derivative(PID).The practical challenge,however,is to extract such signals from noisy measurements and this difficulty is addressed first by *** in the form of linear and nonlinear tracking differentiator(TD).While improvements were made,TD did not completely resolve the conflict between the noise sensitivity and the accuracy and timeliness of the *** two approaches proposed in this paper start with the basic linear TD,but apply iterative learning mechanism to the historical data in a moving window(MW),to form two new iterative learning tracking differentiators(IL-TD):one is a parallel IL-TD using an iterative ladder network structure which is implementable in analog circuits;the other a serial IL-TD which is implementable digitally on any computer *** algorithms are validated in simulations which show that the proposed two IL-TDs have better tracking differentiation and de-noise performance compared to the existing linear TD.

关键词： Tracking differentiator(TD) Iterative learning Iterative learning tracking differentiator(IL-TD) Active disturbance rejection control(ADRC)-Two-dimensional system(2-D system)

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Robust Cooperative Guidance Against Maneuvering Target Based on Distributed State Estimation

Robust Cooperative Guidance Against Maneuvering Target Based...

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International Conference on Guidance, Navigation and control, ICGNC 2022

作者： Zhang, Zheng Yu, Jianglong Dong, Xiwang Ren, Zhang Institute of Artificial Intelligence Beihang University Beijing100191 China School of Automation Science and Electrical Engineering Science and Technology on Aircraft Control Laboratory Beihang University Beijing100191 China

ISBN: (纸本)9789811966125

This paper presents a novel robust cooperative guidance law against high-maneuvering target based on state information obtained from networked distributed estimation. To attack the target accurately, a distributed state estimation algorithm is proposed by two steps: local filter and interaction fusion. During the interaction fusion step, the accurate state information of target can be obtained based on the local neighboring interactions. Then, the guidance law considering maneuvering target acceleration information is designed, which can be used to attack the maneuvering target accurately. Finally, a numerical simulation example for maneuvering target cooperative attack is given to validate the performance of the algorithm. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： State estimation

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Health assessment method for core components of switching quantity interface circuit based on active excitation test 14

Health assessment method for core components of switching qu...

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14th International Conference on Reliability, Maintainability and Safety, ICRMS 2023

作者： Xu, Peiyang Jia, Long Ma, Jian Chen, Chang Chen, Wei Lan, Chunyun Zou, Xinyu Li, Tianhao Science & Technology on Reliability & Environmental Engineering Laboratory School of Reliability and Systems Engineering Beihang University Beijing China School of Automation Science and Electrical Engineering Beijing Aerospace Institute of Automatic Control Beihang University Beijing China Science & Technology on Reliability & Environmental Engineering Laboratory School of Reliability and Systems Engineering Institute of Reliability Engineering Beihang University Beijing China Beijing Aerospace Institute of Automatic Control Beijing China

ISBN: (纸本)9798350329988

As power electronics technology continues to advance, the prevalence of switching quantity interface circuits has grown in diverse domains, encompassing industrial production and everyday civilian applications. An analysis of operational data from these circuits, along with an assessment of their overall health, proves instrumental in the timely detection and resolution of operational anomalies. This holds paramount significance in upholding the reliability of these interface circuits. Nevertheless, tracking the degradation trajectory of the core components during their operational lifespan poses a challenge. Typically, only two states, normal and abnormal, are readily discernible, making direct health assessment elusive. To address this issue, this study introduces a health assessment methodology for the fundamental components of switch quantity interface circuits based on active excitation testing. Through the application of active excitation, the performance decay profile of the optical coupler is ascertained, solving the problem of capturing the degradation process within these circuits. This approach facilitates the stable and precise characterization of the health status of switching quantity interface circuits. The health assessment method presented in this paper is characterized by modest computational resource demands and a reduced reliance on expert knowledge. It is adept at quantitatively delineating the health status of switch-quantity interface circuits with precision, thereby offering guidance for the maintenance and replacement of pivotal electronic components within these circuits. In doing so, it contributes to the assurance of operational dependability and an extension of the service life of switch quantity interface circuits. © 2023 IEEE.

关键词： Reliability analysis

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Spatial information considered convolutional neural network for electroencephalogram-based motor imagery classification 3

Spatial information considered convolutional neural network ...

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3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing, CAMMIC 2023

作者： Shi, Hongbing Zhang, Jinhui Pei, Zhongcai School of Automation Science and Electrical Engineering Beihang University Beijing China North Information Control Research Institute Group Co. Ltd. China

ISBN: (数字)9781510667617

ISBN: (纸本)9781510667600

As brain-computer interface (BCI) technology continues to advance in various fields, it has become one of the possible solutions for patients with motor dysfunction who have healthy thinking ability to regain motor ability. The vigorous development of deep learning (DL) provides it with a possible tool to analyze electroencephalogram (EEG) signals. Through analyzing and categorizing EEG signals associated with motor imagery (MI), the system can effectively perceive the patient's motor intentions. Currently, Convolutional Neural Networks (CNN) have exhibited exceptional performance in a variety of fields, including computer vision (CV) and natural language processing (NLP). However, the brain structure has rich spatial information, which was not fully utilized by CNN for MI-EEG signal analysis in the past. This paper introduces SP-CNN, a convolutional neural network that incorporates spatial information from the brain, to address the classification challenge of MI-EEG signals. The experimental findings indicate that this method exhibits stable and robust performance across diverse subjects. © 2023 SPIE.

关键词： Electroencephalography

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Finite-Time Sideslip Differentiator-Based LOS Guidance for Robust Path Following of Snake Robots

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IEEE/CAA Journal of Automatica Sinica 2023年第1期10卷 239-253页

作者： Yang Xiu Dongfang Li Miaomiao Zhang Hongbin Deng Rob Law Yun Huang Edmond Q.Wu Xin Xu the School of Mechatronical Engineering Beijing Institute of TechnologyBeijing 100081China the School of Electrical Engineering and Automation Fuzhou UniversityFuzhou 350108 the Antai College of Economics&Management Shanghai Jiao Tong UniversityShanghai 200240China the Department of Automation Shanghai Jiao Tong UniversityShanghai 200240China the Asia-Pacific Academy of Economics and Management University of MacaoMacao 999078China the Department of Decision Science Macao University of Science and TechnologyMacao 999078China the Department of Automation Shanghai Jiao Tong Universityand also with the Key Laboratory of System Control and Information ProcessingMinistry of Education of ChinaShanghai 200240China the College of Mechatronics and Automation National University of Defense TechnologyChangsha 410073China IEEE

This paper presents a finite-time sideslip differentiator-based line-of-sight(LOS)guidance method for robust path following of snake ***,finite-time stable sideslip differentiator and adaptive LOS guidance method are proposed to counteract sideslip drift caused by cross-track *** proposed differentiator can accurately observe the cross-track error and sideslip angle for snake robots to avoid errors caused by calculating sideslip angle *** our method,the designed piecewise auxiliary function guarantees the finite-time stability of position ***,for the case of external disturbances and state constraints,a Barrier Lyapunov functionbased backstepping adaptive path following controller is presented to improve the robot’s *** uniform ultimate boundedness of the closed-loop system is proved by analyzing ***,a gait frequency adjustment-based virtual velocity control input is derived to achieve the exponential convergence of the tangential *** last,the availability and superiority of this work are shown through simulation and experiment results.

关键词： Line-of-sight(LOS) path following sideslip snake robot

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Intermittent control for Fixed-Time Synchronization of Coupled Networks

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IEEE/CAA Journal of Automatica Sinica 2023年第6期10卷 1488-1490页

作者： Yongbao Wu Ziyuan Sun Guangtao Ran Lei Xue the School of Automation Southeast UniversityNanjing 210096China the Department of Applied Mathematics University of WaterlooOntario N2J 4N3Canada the Department of Control Science and Engineering Harbin Institute of TechnologyHarbin 150001China

Dear Editor, This letter deals with fixed-time synchronization(Fd-TS) of complex networks(CNs) under aperiodically intermittent control(AIC)for the first time. The average control rate and a new Lyapunov function are ... 详细信息

关键词： synchronization Synchronization overcome

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A Novel Hybrid Transformer-Based Framework for Solar Irradiance Forecasting under Incomplete Data Scenarios

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IEEE Transactions on Industrial Informatics 2024年第6期20卷 8605-8615页

作者： Zhang, Hanjin Li, Bin Su, Shun-Feng Yang, Wankou Xie, Liping Southeast University School of Economics and Management Nanjing210096 China National Taiwan University of Science and Technology Department of Electrical Engineering Taipei106 Taiwan Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education School of Automation Nanjing210096 China Southeast University Shenzhen Research Institute Shenzhen518063 China

Accurate prediction of solar irradiance is crucial for the effective utilization of solar energy. However, in real-world scenarios, complex irradiance patterns and prevalent incomplete data pose challenges to precise forecasting, resulting in additional uncertainties and instability. To address these issues, this study proposes a novel irradiance forecasting model that integrates a Mask-Transformer data imputation module and a prediction module centered around the typical patterns representation mechanism. The Mask-Transformer leverages a mask modeling mechanism to model the context of missing data, facilitating accurate estimation of missing values and reducing noise and uncertainty in the input data. The typical patterns representation mechanism comprises a series decomposition module and a feature fusion module, providing the module with the capability to mitigate nonlinearity and nonstationarity in solar irradiance data. This enhancement leads to improved short-term forecasting performance while maintaining long-term forecasting capabilities. Experimental results on two datasets demonstrate that the proposed model exhibits sufficient robustness and accuracy, making it effective in scenarios with incomplete data. © 2005-2012 IEEE.

关键词： Forecasting

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