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5th International Conference on Industrial Artificial intelligence, IAI 2023

作者： Liu, Xianggang Liu, Zhi-Wei Chi, Ming Zhang, Yifan Huazhong University of Science and Technology Key Laboratory of Image Processing and Intelligent Control Ministry of Education College of Artificial Intelligence and Automation Wuhan China

ISBN: (纸本)9798350325294

The integration of renewable energy sources into the power grid has led to new challenges in maintaining the stability of the system frequency. This paper proposes a novel approach to address the Optimal Demand Side Frequency control (ODFC) problem using Multi-Agent Deep Deterministic Policy Gradient (MADDPG) method. The proposed method models the ODFC problem as a Markov game, with centralized training based on multi-agent cooperative self-learning and associative storage service. In the decentralized execution stage, each agent independently outputs control actions to the controlled plant using local observations. Numerical simulations show that the proposed method effectively addresses the ODFC problem with superior performance compared to traditional methods. © 2023 IEEE.

关键词： Numerical methods

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ESNet: Evolution and Succession Network for High-Resolution Salient Object Detection 41

ESNet: Evolution and Succession Network for High-Resolution ...

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41st International Conference on Machine Learning, ICML 2024

作者： Liu, Hongyu Cong, Runmin Li, Hua Xu, Qianqian Huang, Qingming Zhang, Wei Institute of Information Science Beijing Jiaotong University Beijing Key Laboratory of Advanced Information Science and Network Technology Beijing China School of Control Science and Engineering Shandong University Key Laboratory of Machine Intelligence and System Control Ministry of Education Jinan China School of Computer Science and Technology Hainan University Hainan China Key Laboratory of Intelligent Information Processing Institute of Computing Technology CAS Beijing China School of Computer Science and Technology University of Chinese Academy of Sciences Beijing China

Preserving details and avoiding high computational costs are the two main challenges for the High-Resolution Salient Object Detection (HRSOD) task. In this paper, we propose a two-stage HRSOD model from the perspective of evolution and succession, including an evolution stage with Low-resolution Location Model (LrLM) and a succession stage with High-resolution Refinement Model (HrRM). The evolution stage achieves detail-preserving salient objects localization on the low-resolution image through the evolution mechanisms on supervision and feature;the succession stage utilizes the shallow high-resolution features to complement and enhance the features inherited from the first stage in a lightweight manner and generate the final high-resolution saliency prediction. Besides, a new metric named Boundary-Detail-aware Mean Absolute Error (MAEBD) is designed to evaluate the ability to detect details in high-resolution scenes. Extensive experiments on five datasets demonstrate that our network achieves superior performance at real-time speed (49 FPS) compared to state-of-the-art methods. Our code is publicly available at: https://***/rmcong/ESNet_ICML24. Copyright 2024 by the author(s)

关键词： Miocene

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A Ku-band Compact High-power Sheet Beam Extended Interaction Oscillator 16

A Ku-band Compact High-power Sheet Beam Extended Interaction...

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16th UK-Europe-China Workshop on Millimetre Waves and Terahertz Technologies, UCMMT 2023

作者： Zhao, Wen Wang, Jianxun Li, Xinjie Jiang, Wei Li, Hao Luo, Yong University of Electronic Science and Technology of China School of Electronic Science and Engineering Chengdu China University of Electronic Science and Technology of China Laboratory of Electromagnetic Space Cognition and Intelligent Control Chengdu China

ISBN: (纸本)9798350339406

A compact sheet beam extended interaction oscillator (SBEIO) with frequency of 13.986 GHz is proposed in this paper. The model adopts a ladder structure with six gaps and operates in the TM11-2π mode. By optimizing the structure through the MATLAB program of the nonlinear theoretical simulation designed in our group, the efficiency is increased from 23.6% to 32.1%. The voltage and current of the electron beam are respectively 45 kV, 14 A. The current density remains at 50 A/cm2, which is suitable for the application of the periodic permanent magnet and beneficial for compact overall structure. The output power reaches 157 KW. © 2023 IEEE.

关键词： MATLAB

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Cross-user Gesture Recognition Based on Deep Domain Adaptation Networks 43

Cross-user Gesture Recognition Based on Deep Domain Adaptati...

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43rd Chinese control Conference, CCC 2024

作者： Fu, Zhongzheng He, Xinrun Wang, Haoyuan Chen, Xingjian Li, Yixuan Huang, Jian Huazhong University of Science and Technology Ministry of Education Key Laboratory of Image Processing and Intelligent Control Hubei Key Laboratory of Brain-inspired Intelligent Systems School of Artificial Intelligence and Automation Wuhan430074 China

ISBN: (纸本)9789887581581

This study introduces an innovative approach for gesture recognition in smart wearable devices using a deep domain adaptation model, focusing on the challenges posed by heterogeneous user environments and the need for precise, adaptable, and personalized gesture recognition systems. Traditional methods based on machine learning and deep learning techniques, while effective, struggle with the variance in data distribution among different users, leading to accuracy challenges. To address this, the study proposes the Domain Kernel-Alignment Adaptation Network (DKAN) model, utilizing a new Kernel-Aligned Multi-kernel Maximum Mean Discrepancy (KAMMD) method within deep networks. By calculating kernel alignments between source and target domains and adjusting weights of Gaussian kernels accordingly, DKAN emphasizes features conducive to transfer learning, enabling more accurate cross-user gesture recognition. The model achieves a significant average accuracy of 97.3% across 21 gestures, highlighting its potential in practical applications. This advancement addresses challenges in traditional gesture recognition methods and sets a new direction for future research in smart wearable technology. © 2024 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Adversarial machine learning

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Eigenvector of Gram-Matrix based Open-Fault Diagnosis Method for Two-level Three-Phase Inverter 10

Eigenvector of Gram-Matrix based Open-Fault Diagnosis Method...

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10th IEEE International Power Electronics and Motion control Conference, IPEMC 2024 ECCE Asia

作者： Zhou, Yang Zhao, Jin Liu, Yang Sun, Lijun Huazhong University of Science and Technology Key Laboratory of Imaging Processing and Intelligence Control Ministry of Education School of Artificial Intelligence and Automation Wuhan China Guangdong Provincial Key Laboratory of Electronic Information Products Reliability Technology China Electronic Product Reliability and Environmental Testing Research Institute Guangzhou China

ISBN: (纸本)9798350351330

This paper studies the power switch open-circuit(OC) fault in two-level three-phase (2L3P) voltage source inverter (VSI). According to the topological symmetry of the inverter, when it works in healthy conditions, its phase currents are standard sine waves with only 120-degree phase difference, and the similarity between phase currents is high. When OC fault occurs, the current waveforms of both normal and fault phases will be distorted, the similarity will be changed. Therefore, this paper introduces the Gram matrix in image processing to measure the similarity and proposes a fast and computationally efficient diagnostic method based on the eigenvector of Gram-Matrix. Physical experiment shows that both single-switch fault and multiple-switch fault on the same leg can be effectively detected and located. © 2024 IEEE.

关键词： Eigenvalues and eigenfunctions

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Decoupling MIL Transformer-based Network for Weakly Supervised Polyp Detection

Decoupling MIL Transformer-based Network for Weakly Supervis...

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2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023

作者： Zhang, Hantao Xie, Risheng Wan, Shouhong Jin, Peiquan University of Science and Technology of China Key Laboratory of Electromagnetic Space Information Hefei China Hefei Comprehensive National Science Center Institute of Artificial Intelligence Hefei China

ISBN: (纸本)9798350337488

Colonoscopy has emerged as a crucial examination for early colorectal cancer (CRC) diagnosis. Early detection of polyps can significantly enhance the survival rate of colorectal cancer. Most recent weakly supervised methods for detecting polyps are based on multiple instance learning (MIL), which employs labeled training data at the video-level (bag-level) to identify polyps at the frame-level (instance-level). However, existing methods often use the same features without considering the differences of video and snippet. Video classification usually focuses more on global features, while snippet classification relies more on leveraging multi-granularity detail information. This paper proposes decoupling the MIL network into the feature encoder and instance decoder. Furthermore, we introduce a novel Snippet-wise Cross Fusion Attention (SCA) that captures rich temporal context semantic features for instance classification. Additionally, our approach incorporates a parameter-efficient finetuning architecture called convolutional adapters, which aims to enhance the training process stability and improve the model's performance. Experimental results demonstrate consistent improvements over state-of-the-art methods on a newly introduced large-scale colonoscopy video dataset by a considerable 7.9% AUC and 1.16% AP. Our code and dataset will be made publicly available at: https://***/kanydao/Decoupling-MIL. © 2023 IEEE.

关键词： Feature decoupling Polyp Detection Video Anomaly Detection Weakly-supervised Learning

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A method to accelerate the design of sheet beam traveling wave tube depressed collector 16

A method to accelerate the design of sheet beam traveling wa...

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16th UK-Europe-China Workshop on Millimetre Waves and Terahertz Technologies, UCMMT 2023

作者： Jiang, Zhi Wang, Jianxun Wan, Yixin Jiang, Wei Li, Hao Luo, Yong University of Electronic Science and Technology of China School of Electronic Science and Engineering Chengdu China University of Electronic Science and Technology of China Laboratory of Electromagnetic Space Cognition and Intelligent Control Chengdu China

ISBN: (纸本)9798350339406

An efficient collector is one of the key factors in improving the overall efficiency of a sheet beam traveling wave tube(SB-TWT). In this paper, K-means algorithm is used to process the massive data of sheet electron beam (EB) after beam-wave interaction, so that a more representative and smaller amount of data is obtained. These data will be imported into the CST Tracking module for the quickly simulation design of the collector. The designed two-stage depressed collector is applied to a 6 kW continuous wave Ku-band SB-TWT with 26 kV Voltage and 1.3 A current. The collector efficiency is up to 80.79% with a backflow current of 0.13%. The overall efficiency of SB-TWT reaches about 52.9%. © 2023 IEEE.

关键词： Collector efficiency

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Disturbance observer-based backstepping control for hypersonic flight vehicles without use of measured flight path angle

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Chinese Journal of Aeronautics 2021年第2期34卷 396-406页

作者： Yao Lu Beijing Aerospace Automatic Control Institute Beijing 100854China National Key Laboratory of Science and Technology on Aerospace Intelligence Control Beijing 100854China

In this paper a nonlinear control method is proposed for the tracking control of hypersonic flight vehicles. The designed control laws do not utilize the measured flight path angle due to its inferior accuracy in practical engineering. For this, an estimated flight path angle is designed via the measurements of the altitude and velocity. A tracking differentiator is designed for constructing nonlinear disturbance observer which is used to estimate the model uncertainties including the parameter indeterminacies and external disturbances in the channels of velocity and pitch rate. A robust high-order differentiator is introduced to avoid the employment of the measured flight path angle and estimate the lumped disturbance in dynamics of flight path angle. Meanwhile, the possible saturation of the control inputs is considered and compensated by the auxiliary states. The boundness of closed-loop signals is proved through the Lyapunov theory. Comparative simulations are carried out and the results demonstrate the effectiveness of the proposed method.

关键词： Anti-saturation Backstepping Disturbance observer Flight control Hypersonic flight vehicle State estimation

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Multi-objective Optimal Operation of Centralized Battery Swap Charging System with Photovoltaic

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Journal of Modern Power Systems and Clean Energy 2022年第1期10卷 149-162页

作者： Yuanzheng Li Yihan Cai Tianyang Zhao Yun Liu Jian Wang Lei Wu Yong Zhao School of Artificial Intelligence and Automation Ministry of Education Key Laboratory of Image Processing and Intelligence ControlHuazhong University of Science and TechnologyWuhanChina School of Electrical and Electronic Engineering Nanyang Technological UniversitySingaporeSingapore College of Mechatronics and Control Engineering Shenzhen UniversityShenzhenChina Department of Electrical&Computer Engineering Stevens Institute of TechnologyHobokenUSA

Electric vehicles(EVs)are widely deployed throughout the world,and photovoltaic(PV)charging stations have emerged for satisfying the charging demands of EV *** paper proposes a multi-objective optimal operation method for the centralized battery swap charging system(CBSCS),in order to enhance the economic efficiency while reducing its adverse effects on power *** proposed method involves a multi-objective optimization scheduling model,which minimizes the total operation cost and smoothes load fluctuations,***,we modify a recently proposed multi-objective optimization algorithm of non-sorting genetic algorithm III(NSGA-III)for solving this scheduling ***,simulation studies verify the effectiveness of the proposed multi-objective operation method.

关键词： Multi-objective optimization electric vehicle battery swap charging system scheduling photovoltaic

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Can ChatGPT Boost Artistic Creation:The Need of Imaginative intelligence for Parallel Art

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IEEE/CAA Journal of Automatica Sinica 2023年第4期10卷 835-838页

作者： Chao Guo Yue Lu Yong Dou Fei-Yue Wang The State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190China School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049China Institute of Systems Engineering Macao University of Science and TechnologyMacao 999078China

CHATGPT,one of the leading Large Language Models(LLMs),has acquired linguistic capabilities such as text comprehension and logical reasoning,enabling it to engage in natural conversations with humans.

关键词： such has reasoning

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