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14th IEEE Global engineering Education Conference, EDUCON 2023

作者： Caceres, Pablo Cardenas Cieza Huane, Leslie Y. Horna Vilcahuaman, Ingrid M. Pauyac Estrada, Claudia R. Casano, Celso De-La-Cruz Tafur Sotelo, Julio C. Pontificia Universidad Catolica Del Peru Department of Engineering Electronics Section Lima Peru Degree Program Pontificia Universidad Catolica Del Peru Department of Engineering Control and Automation Master Engineering Lima Peru

ISBN: (纸本)9798350399431

In the electronic engineering undergraduate program, Peruvian universities offer different theoretical courses of Automatic control that do not present enough practical approach to the algorithms that are studied during the progress of these courses;however, the approach to implementation is very important to achieve good performance in the industry and researching. In this work is presented XSpace, an innovative and friendly platform which consists of a robust hardware that allows the student to take it home;this way, the student is given the opportunity to implement digital control algorithms learned in the theoretical classes. The effectiveness of this platform is shown using a proposed methodology which evidences greater interest, efficiency and efficacy in students at the Automatic control area. This project was implemented in the 'control Systems' course at Pontificia Universidad Catolica del Peru (PUCP) from 2020 to 2022. Results are presented through a student survey and a history of average grades during the academic periods the platform was employed. © 2023 IEEE.

关键词： Students

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Alertness Analysis from EEG Signals based on Temporal Complex Network Features 16

Alertness Analysis from EEG Signals based on Temporal Comple...

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16th International Congress on Image and Signal Processing, BioMedical engineering and Informatics, CISP-BMEI 2023

作者： Wei, Beibei Han, Chunxiao Chen, Yi Che, Yanqiu Qin, Yingmei Li, Shanshan Tianjin University of Technology and Education Tianjin Key Laboratory of Information Sensing & Intelligent Control School of Automation and Electrical Engineering Tianjin China

ISBN: (纸本)9798350330755

Fatigue driving is a major contributor to traffic accidents, as it reduces alertness and can even be fatal. To investigate alertness changes during prolonged driving, we first built a simulated driving experiment platform and designed an alertness detection experiment. Electroencephalogram (EEG) signals were collected during prolonged fatigue driving from 16 subjects. For each subject, the driving process was divided into eight stages from T0-T7. Then, the alertness level was analyzed by temporal complex network method based on multiplex limited penetrable visibility graphs from the collected EEG signals. The clustering coefficient, path length and global efficiency of the constructed complex network were extracted for each driving stage under five typical brain rhythms including delta, theta, alpha, beta, and gamma. The results indicate that after a long stage of driving, the clustering coefficient and path length show an overall increasing trend, while the global efficiency reveals an overall decreasing trend. Our findings may provide indicators for monitoring alertness level. © 2023 IEEE.

关键词： Complex networks

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control law design for localizer pre-capture based on integrated navigation 2

Control law design for localizer pre-capture based on integr...

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2nd International Symposium on Aerospace engineering and Systems, ISAES 2023

作者： Zhang, Jiahao Meng, Fandong Zhou, Chao Gao, Zhiyuan School of Mechatronic Engineering and Automation Shanghai University Shanghai China Comac Aircraft Electronics Electrical and Control Integration Division Shanghai China

ISBN: (纸本)9798350303728

To enhance the performance of automatic landing systems for commercial aircraft, a control law of localizer pre-capture was developed based on the maximum pitch angle limit of the approach, the characteristics of the aircraft and localizer, and the fusion signals of the integrated navigation are used to delineate the approach paths and adjust the intercept angle. The modeling and simulation of the control law was implemented using MATLAB/Simulink. The simulation results show that the designed control law can guide the aircraft into the linear beam range of the localizer with appropriate intercept angle in various complex situations. The proposed method can provide a reference for further research of automatic flight control system for commercial aircraft. © 2023 IEEE.

关键词： Air navigation

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Features Extraction of Different Emotional based on Brain Rhythm 5

Features Extraction of Different Emotional based on Brain Rh...

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5th Asia Symposium on Image Processing, ASIP 2023

作者： Liu, Yanli Han, Chunxiao Tong, Wenhui Liu, Junxiu Qin, Yingmei Che, Yanqiu Tianjin University of Technology and Education School of Automation and Electrical Engineering Tianjin Key Laboratory of Information Sensing & Intelligent Control Tianjin China

ISBN: (纸本)9798350323429

Emotions are an essential part of human physiological performance. Therefore, the study of emotion recognition is extremely relevant in both practical applications and theoretical research. Based on the electroencephalogram (EEG) data we collected, this paper explored the differences from five different characteristics among the coefficient of variation (CV) , power spectral density (PSD) , differential entropy (DE) , approximate entropy (AE) , and permutation entropy (PE) of three emotions at different rhythms, analyzed the activity of each brain region under different emotions. Finally, this paper also compares the classification accuracy of single features and combined features. The experimental results reveal that emotions are more strongly correlated with Beta and Gamma bands;temporal lobe regions are most active in emotion-related brain activity;and the accuracy of combined features is higher than the accuracy of single feature classification. The experiment conclusively demonstrates that effective feature extraction and selection have far-reaching implications for emotion recognition. © 2023 IEEE.

关键词： Emotion Recognition

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Dynamic event-triggered fault-tolerant cooperative resilient tracking control with prescribed performance for UAVs

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Science China(Information Sciences) 2024年第8期67卷 67-84页

作者： Rong YUAN Zhengcai AN Shuyi SHAO Mou CHEN Mihai LUNGU College of Automation Engineering Nanjing University of Aeronautics and Astronautics Science and Technology on Electro-optic Control Laboratory Faculty of Electrical Engineering University of Craiova Aerospace Engineering Doctoral School University Politehnica of Bucharest

In this paper, a resilient tracking control scheme with cooperative collision avoidance performance is studied for the fixed-wing unmanned aerial vehicle(UAV) leader-follower formation in the presence of actuator failures and external disturbances. Firstly, based on the control objectives of UAV formation tracking and collision avoidance, the transformation tracking errors are obtained using the prescribed performance control technique. Next, a fault detection mechanism is introduced to determine if there is the actuator fault. Subsequently, the event-triggered resilient fault observers are designed based on a dynamic eventtriggered mechanism to estimate actuator faults. Furthermore, the prescribed performance functions and the H∞ performance index are employed to ensure the UAV formation collision-free and mitigate the impact of disturbances. Moreover, the resilient controller is designed to minimize the effect of the perturbations for the control gain and the fault observer gain on the system. The stability of the system is also proven through the Lyapunov stability analysis, and the controller gains are calculated by solving the linear matrix ***, the validity of the proposed control strategy is demonstrated by the simulation analysis.

关键词： UAV formation cooperative collision avoidance event-triggered fault observer prescribed performance resilient control

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Automatic Cataract and Cholesterol Detection System Based on Recurrent Neural Network (RNN): A Comparison with Convolutional Neural Network (CNN) and Siamese Neural Network (SNN) 1

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19th International Conference of Intelligent Unmanned Systems, ICIUS 2023

作者： Lie, Zener S. Widodo, Jatmiko A. F. Hanesi, Isabel K. P. Moningka, Matthew R. N. Mariana, Y. Astuti, Winda Akmeliawati, Rini Automotive and Robotics Program Computer Engineering Department BINUS ASO School of Engineering Bina Nusantara University Jakarta11480 Indonesia Product Design program Industrial Engineering Department BINUS ASO School of Engineering Bina Nusantara University Jakarta11480 Indonesia Robotics and Automation Research Group School of Electrical and Mechanical Engineering The University of Adelaide North Terrace Campus Adelaide Australia

ISBN: (数字)9789819765911

ISBN: (纸本)9789819765904

In Indonesia, the majority of blindness cases, approximately 81%, are attributed to cataract. Additionally, 35% of the population has higher cholesterol levels than the standard normal range. The lack of specialized medical equipment, such as the slit-lamp (Ruparelia in Dalhousie Med J 49(1), [1]) bio-microscope, and trained professionals, especially in rural areas, make it difficult to detect these conditions through eye examinations. To address this issue, a supervised machine learning method, the Recurrent Neural Network (RNN), has been utilized to create an iris scanner system that can identify cataract and high cholesterol in a patient. This system will classify eyes into three categories, i.e., cataract, high cholesterol, and normal iris. The computer simulations indicate that this technique is more accurate and requires less training time compared to the existing Convolutional Neural Network (ANN) and Siamese Neural Network (SNN)-based method, while achieving 100% accuracy. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Convolutional neural networks

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Measurement Method of High-Frequency Winding Loss in Gapped Inductors Based on Magnetic Field Equivalence

CPSS Transactions on Power Electronics and Applications

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CPSS Transactions on Power Electronics and Applications 2024年第4期9卷 395-404页

作者： Zhiyong Qiu Kaining Fu Wei Chen School of Electrical Engineering and Automation Xiamen University of Technology Xiamen China Xiamen Key Laboratory of Frontier Electric Power Equipment and Intelligent Control School of Electrical Engineering and Automation Xiamen University of Technology Xiamen China College of Electrical Engineering and Automation Fuzhou University Fuzhou China

High-permeability cores, such as ferrite, can increase power transfer efficiency and are often designed to be gapped to mitigate magnetic saturation. The fringing effect caused by the air-gap increases the winding loss of the gapped inductor. The key to accurately evaluating its winding loss is extracting that from the total loss. This paper introduces a method for measuring the winding loss of gapped inductors based on magnetic field equivalence. The gapless inductor with the winding for equivalent air-gap was constructed to characterize the magnetic field within the core window of the gapped inductor, and the auxiliary winding was used to replace the winding of the gapped inductor to generate the equivalent magnetizing magnetomotive force. Based on the transformer winding short-circuit method with the small-signal impedance test, the winding loss was separated from the core loss. After the resistance of auxiliary winding was measured by using an air-core inductor, the winding loss of the gapped inductor was consequently obtained. The proposed scheme was applied to inductors made of different sizes and structures, and the measured errors were within 20% in the range of 100 kHz to 1 MHz. The winding loss had a steeper growth tendency in this range than the lower frequency, so the proposed method is effective at high switching frequencies especially.

关键词： Windings Inductors Loss measurement Magnetic flux Magnetic field measurement Air gaps Magnetic separation

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Liquid refractive index measurement method based on orthogonal polarization laser self-mixing interference

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Optoelectronics Letters 2025年

作者： ZHAO Yan WANG Haipeng DU Shengzhi TONG Jigang KANG Jun School of Electrical Engineering and Automation， Tianjin University of Technology Tianjin Key Laboratory for Control Theory and Applications in Complicated Systems Department of Electrical Engineering， Tshwane University of Technology

In this paper， a novel method combining orthogonal polarization laser self-mixing interference is proposed. The method utilizes a rotating cuvette to measure the refractive index of liquids at different concentrations. The cuvette is filled with the liquid to be measured and rotated by a certain angle. The change in the number of interference fringes， caused by comparing an empty cuvette with a liquid-filled cuvette， is used to calculate the refractive index of the liquid. A four-fold logic subdivision algorithm is then used to improve measurement resolution. The experimental results show that for pure water and different NaCl and glucose solutions concentrations， the average relative errors are 0.47%， 0.59%， and 2.17%， respectively， with the maximum relative error within ±2.54%. The standard deviation of all solutions is less than 3.4%.

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Data augmentation method for light guide plate based on improved CycleGAN

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Optoelectronics Letters 2024年

作者： GONG Yefei YAN Chao XIAO Ming LU Mingli GAO Hua School of Electrical and Automation Engineering，Changshu Institute of Technology Jiangsu Engineering Research Center of Industrial Robot Complex Process Intelligent Control School of Electrical Engineering， Yancheng Institute of Technology Wuxi Novo Automation Technology Corp

An improved CycleGAN network method for defect data augmentation based on feature fusion and self attention residual module is proposed to address the insufficiency of defect sample data for light guide plate(LGP) in production， as well as the problem of minor defects. Two optimizations are made to the generator of CycleGAN: 1) Fusion of low resolution features obtained from partial up-sampling and down-sampling with high-resolution features. 2) Combine self attention mechanism with residual network structure to replace the original residual module. Qualitative and quantitative experiments were conducted to compare different data augmentation methods， and the results showed that the defect images of the LGP generated by the improved network were more realistic， and the accuracy of the YOLOv5 detection network for the LGP was improved by 5.6%， proving the effectiveness and accuracy of the proposed method.

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Exact controllability of rational expectations model with multiplicative noise and input delay

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Journal of automation and Intelligence 2024年第1期3卷 19-25页

作者： Wenjing Wang Juanjuan Xu Huanshui Zhang Minyue Fu School of Control Science and Engineering Shandong UniversityJinan 250061China College of Electrical Engineering and Automation Shandong University of Science and TechnologyQingdao 266590China School of System Design and Intelligent Manufacturing Southern University of Science and TechnologyShenzhen 518055China

This paper considers the rational expectations model with multiplicative noise and input delay,where the system dynamics rely on the conditional expectations of future *** main contribution is to obtain a sufficient condition for the exact controllability of the rational expectations *** particular,we derive a sufficient Gramian matrix condition and a rank condition for the delay-free *** key is the solvability of the backward stochastic difference equations with input delay which is derived from the forward and backward stochastic system.

关键词： Rational expectations model Exact controllability Exactly null controllability Multiplicative noise Input delay

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