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42nd Chinese control Conference, CCC 2023

作者： Dou, Lintao Wei, Haoyu Huang, Jian Pan, Lulu Shao, Haibin Li, Dewei College of Intelligent Science National University of Defense Technology Changsha410003 China Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai Engineering Research Center of Intelligent Control and Management Department of Automation Shanghai200240 China

ISBN: (纸本)9789887581543

This paper examines the event-triggered consensus of the multi-agent system on matrix-weighted networks, where the interdependencies among higher-dimensional states of neighboring agents are characterized by matrix-weighted edges in the network. Specifically, a novel distributed dynamic event-triggered coordination strategy is proposed for this category of generalized networks, in which an auxiliary system is employed for each agent to dynamically adjust the triggering threshold, which plays an essential role in guaranteeing that the triggering time sequence does not exhibit Zeno behavior. Distributed event-triggered control protocols are proposed to guarantee leaderless consensus for multi-agent systems on matrix-weighted networks, respectively. Remarkably, the spectrum of matrix-valued weights is crucial in event-triggered mechanism design for matrix-weighted networks, generalizing those results only applicable for scalar-weighted networks. The proposed approach allows each agent to broadcast and receive information only at its triggering instants. Finally, simulation examples are provided to demonstrate the theoretical results. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Multi agent systems

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Biochar technology cannot offset land carbon emissions in Guangdong province, China

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Carbon research 2024年第1期3卷 1-14页

作者： Wang, Funing Zhou, Wenneng Wang, Xili Zhao, Qing Han, Mengjie State Key Lab of Clean Energy Utilization Institute of Carbon Neutrality State Environmental Protection Engineering Center for Coal-Fired Air Pollution Control Zhejiang University Hangzhou310027 China Jiaxing Research Institute Zhejiang University Jiaxing314000 China Guangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds School of Ecology Environment and Resources Guangdong University of Technology Guangzhou510006 China Economic & amp Information center Zhejiang310006 China Department of Earth System Science Ministry of Education Key Laboratory for Earth System Modeling Institute for Global Change Studies Tsinghua University Beijing100084 China Guangdong Key Laboratory of Integrated Agro-environmental Pollution Control and Management Institute of Eco-environmental and Soil Sciences Guangdong Academy of Sciences Guangzhou510650 China National-Regional Joint Engineering Research Center for Soil Pollution Control and Remediation in South China Guangzhou510650 China

As a highly developed region, Guangdong province has substantial industrial emissions. Its subtropical monsoon climate, characterized by abundant hydrothermal conditions, contributes to a substantial biomass potential. The adoption of potential biomass-based carbon dioxide removal (CDR) technologies, such as biochar, presents an opportunity to mitigate emissions and work towards carbon neutrality in the future. However, the current state of the land carbon balance and the CDR potential of biochar in Guangdong province remains unclear. We first calculated the land carbon balance based on inventory data. Then we estimated the CDR potential of biochar derived from agricultural residues, forestry residues, and bioenergy crops cultivated on marginal lands in Guangdong province using life cycle analysis (LCA). Results show that Guangdong province has not yet achieved carbon neutrality, with a net emission (carbon emissions remaining after offsetting by carbon sinks) of 925.63 Tg CO2e (CO2 equivalent, 1Tg = 106 t) in 2021. Emissions from energy consumption account for the highest proportion, contributing 83.8% of total emissions. In the highest biomass utilization scenario, the maximum CDR potential of biochar derived from all biomass types reaches 84.30 Tg CO2e yr-1, which could offset 9.11% of net carbon emissions in Guangdong province. Our findings provide crucial guidance for setting emission reduction targets and implementing effective mitigation strategies in Guangdong province under temperature warming. Graphical Abstract: (Figure presented.) © The Author(s) 2024.

关键词： Carbon capture and utilization

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Fault Diagnosis of CTCS-3 On-Board Logic Function Based on SSGAN Framework

Fault Diagnosis of CTCS-3 On-Board Logic Function Based on S...

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International Conference on Intelligent Transportation

作者： Daqian Zhang Jidong Lv Zhengwei Luo Hongjie Liu Ming Chai Wenxiang Ge Fei Yan National Engineering Research Center Of Rail Transportation Operation And Control System Beijing Jiaotong University Beijing China

As a typical safety-critical system, the CTCS-3 on-board system has complex logic functions, in which any faults happened may lead to huge loss of life and properties. Fault diagnosis is an important means to improve the safety and reliability of the train control system, thus can gain insight into its logical operating mechanism. Because of the overfitting of fault data with low sampling frequency, the small amount of CTCS-3 on-board dataset makes it a great bottleneck for traditional fault diagnosis method application. Based on the high time-series characteristic in logic function fault data, this paper proposes a novel Semi-Supervised Generative Adversarial Networks(SSGAN) fault diagnosis framework that introduces One-dimensional convolutional neural network(1D CNN) and Long and Short Term Memory Network(LSTM) to overcome the problem. In this framework, the semi-supervised training method and the constant fitting and generation of the data by the generator, the problem of over-fitting can be solved effectively. The 1D CNN introduced in the discriminator follows time to convolve the data, and LSTM achieves long-term memory of relevant information by selectively remembering and forgetting prior information, thus extracting temporal features. We apply this framework to real train operation fault data to diagnose on-board logic function faults. The experiment indicates that despite a 50% labeled rate, the test set achieves an accuracy of 97.2%, effectively alleviating the over-fitting problem caused by small data volumes. Compared with other commonly used supervised fault diagnosis methods such as SVM, CNN-LSTM, etc., our model achieves a better F1-score.

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Robust Model Predictive control Strategy for Virtually Coupled Train Sets Using Time-Varying Tubes

Robust Model Predictive Control Strategy for Virtually Coupl...

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International Conference on Intelligent Transportation

作者： Zhengwei Luo Jidong Lv Jiahui Lv Hongjie Liu Ming Chai Kaicheng Li National Engineering Research Center of Rail Transportation Operation and Control System Beijing Jiaotong University Beijing China

Advanced Virtual Coupling (VC) technology can improve rail transit capacity by reducing train spacing. Due to the inevitable time-varying uncertainties of tunnel resistance and other disturbances, it is a great challenge to design an optimal controller for Virtually Coupled Train Set (VCTS), especially considering safety constraints and less conservative control performance. To overcome these problems, this paper proposes a novel robust Model Predictive control (MPC) strategy for VCTS based on time-varying tubes, which is different from the existing methods based on fixed size tubes. First, the VCTS system is modeled considering complex constraints and bounded disturbances. Secondly, on the basis of analyzing the influence of disturbances, the optimal control problem is constructed by using time-varying tubes for constraints tightening. Furthermore, a distributed robust MPC algorithm is proposed to realize cooperative operation control, and its recursive feasibility and input-to-state stability are proved. Finally, numerical simulations are provided to show that the time-varying tubes can obtain a larger feasible domain of the optimal control problem than the fixed size tubes, which is conducive to reducing the conservativeness of controller, and the proposed algorithm can deal with disturbances effectively.

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CC-Guard: An IPv6 Covert Channel Detection Method Based on Field Matching 24

CC-Guard: An IPv6 Covert Channel Detection Method Based on F...

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24th IEEE International Conference on High Performance Computing and Communications, 8th IEEE International Conference on Data Science and systems, 20th IEEE International Conference on Smart City and 8th IEEE International Conference on Dependability in Sensor, Cloud and Big Data systems and Application, HPCC/DSS/SmartCity/DependSys 2022

作者： Wang, Jichang Zhang, Liancheng Li, Zehua Guo, Yi Cheng, Lanxin Du, Wenwen School of Cyber Science and Engineering Zhengzhou University Zhengzhou City China National Digital Switching System Engineering and Technological Research Center Zhengzhou City China China Xi'an Satellite Control Center Xi'an City China

ISBN: (纸本)9798350319934

As the IPv6 protocol has been rapidly developed and applied, the security of IPv6 networks has become the focus of academic and industrial attention. Despite the fact that the IPv6 protocol is designed with security in mind, due to insufficient defense measures of current firewalls and intrusion detection systems for IPv6 networks, the construction of covert channels using fields not defined or reserved in IPv6 protocols may compromise the information systems. By discussing the possibility of constructing storage covert channels within IPv6 protocol fields, 10 types of IPv6 covert channels are constructed with undefined and reserved fields, including the flow label field, the traffic class field of IPv6 header, the reserved fields of IPv6 extension headers and the code field of ICMPv6 header. An IPv6 covert channel detection method based on field matching (CC-Guard) is proposed, and a typical IPv6 network environment is built for testing. In comparison with existing detection tools, the experimental results show that the CC-Guard not only can detect more covert channels consisting of IPv6 extension headers and ICMPv6 headers, but also achieves real-time detection with a lower detection overhead. © 2022 IEEE.

关键词： Network security

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Resilient Cooperative control of Multiple DC Microgrids With Interconnection Networks Against Cyber Attacks

IEEE Transactions on Industrial Cyber-Physical Systems

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IEEE Transactions on Industrial Cyber-Physical systems 2025年 3卷 116-126页

作者： Xiao, Feng Liu, Shiyu Wei, Bo Fang, Fang Qin, Jiahu North China Electric Power University State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources Beijing102206 China North China Electric Power University School of Control and Computer Engineering Beijing102206 China North China Electric Power University New Energy Generation National Engineering Research Center Beijing102206 China University of Science and Technology of China Department of Automation Hefei230027 China

The two control objectives of voltage regulation and precise current sharing are conflicting in multi-bus DC microgrids. In this paper, a distributed control strategy is proposed, and it can achieve accurate current sharing and regulate the voltage of a critical node to the rated value. However, such a distributed control system is susceptible to potential cyber attacks that could deteriorate microgrids performances by corrupting communication links or actuators. To overcome these difficulties, we design the interconnected communication networks to establish a resilient cooperative system of multiple microgrids against unknown bounded injection attacks. The proposed resilient control strategy can achieve the control objectives of maintaining voltage regulation and current sharing within each microgrids under different operating conditions, and the interconnected system consisting of multiple microgrids cooperates to mitigate the adverse effect of cyber attacks. The dynamics and stability of the overall close-loop system of the DC microgrids are analyzed, in the present or absent of cyber attacks. Simulation results validate the effectiveness of the proposed approach in two 4-bus DC microgrids. © 2023 IEEE.

关键词： Cyber attacks

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An Efficient Network for Obstacle Detection in Rail Transit Based on Multi-Task Learning

An Efficient Network for Obstacle Detection in Rail Transit ...

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International Conference on Intelligent Transportation

作者： Bowen Pang Qihe Zhang Ming Chai Haifeng Wang National Engineering Research Center of Rail Transportation Operation and Control System Beijing Jiaotong University Beijing China

Obstacle detection, as one of the core functions of autonomous trains, consists of two specific tasks: track area segmentation and foreign object detection. Conventionally, the two tasks are performed separately. In contrast, we first propose a unified and efficient multi-task network to handle these tasks jointly. Specifically, a schema with one encoder for feature sharing and two decoders for specific tasks is adopted, and three designs such as effective Squeeze-Excitation module are proposed to obtain well shared representations. Furthermore, we establish a high-quality dataset by fusing RailSem19 and MRSI. Experiments demonstrate that our method obtains competitive performances on both track area segmentation and foreign object detection compared with state-of-the-art methods while far exceeding the existing approaches in terms of computational efficiency.

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Reform of experimental teaching by integrating virtual simulation and remote control 23

Reform of experimental teaching by integrating virtual simul...

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8th International Conference on Distance Education and Learning, ICDEL 2023

作者： Hu, Wenhua He, Yuncheng Li, Jing Chen, Wei Wu, Ruiqin Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology China Research Center for Wind Engineering and Engineering Vibration Guangzhou University China Smart City College Beijing Union University China

ISBN: (纸本)9798400700422

Remote online experimental system is the inevitable trend of experimental teaching in the future. Compared with the traditional offline experimental mode, the online experimental system has better operability and more intuitive teaching significance. It can carry out experiments anytime and anywhere without many actual environmental restrictions, saving the time of teachers and students. The number of students in an online class is far more than the number of offline experiments, which can improve teachers' teaching efficiency and teaching quality. This paper will start from an experimental example, design the simulation system based on Automation Studio (AS) and build the actual system based on WS290 hydraulic experimental rig, and then design the image recognition remote control program, and let users achieve the purpose of experimental teaching and control through the program. © 2023 ACM.

关键词： Remote control

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Optimization of Virtual Coupling Speed Curve based on Improved DQN Algorithm

Optimization of Virtual Coupling Speed Curve based on Improv...

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2022 IEEE International Conference on systems, Man, and Cybernetics, SMC 2022

作者： Lang, Yinghui Liu, Hongjie Luo, Xiaolin Zhang, Haobei Beijing Jiaotong University National Engineering Research Center of Rail Transportation Operation and Control System Beijing100044 China Beijing Jiaotong University School of Electronics and Information Engineering Beijing100044 China

ISBN: (数字)9781665452588

ISBN: (纸本)9781665452588

Virtual Coupling (VC) is an emerging topic in the railway industry. It breaks the long-distance limitation and enables trains to operate at closer distances with new safety distance constraints. The new safety distance has high-order nonlinear time-varying because it is closer to the characteristics of virtually coupled trains (VCTs). This makes it difficult for the Automatic Train Operation (ATO) system to track the front virtually coupled train (VCT) in real-time and cannot guarantee stop synchronization. VCTs are equivalent to a physically connected train. So synchronous operation is very important. In order to solve the above problems, this paper takes the entire VCTs as optimization object and takes synchronized stopping, punctuality, and precise stopping as optimization indicators. The reinforcement learning Deep Q Network (DQN) algorithm is used to solve the optimization problem to seek the reference speed curve of each VCT. ATO performs real-time control on the basis of reference speed curve, which reduces calculation pressure and ensures synchronous operation of VCTs. Moreover, this paper improves DQN algorithm according to operation scenarios of VCTs to make the solution faster. Finally, we conduct a simulation experiment with the scene of Beijing Metro Line 11. The experiment demonstrates the effectiveness of this method for stopping synchronization and the superiority of the improved DQN algorithm for VCTs running scenarios. © 2022 IEEE.

关键词： Reinforcement learning

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Fault Diagnosis Method of Point Machine Based on Vibration Signal 8

Fault Diagnosis Method of Point Machine Based on Vibration S...

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8th International Conference on Electromechanical control Technology and Transportation, ICECTT 2023

作者： Yan, Tongrui Zhang, Jiazhen Sun, Yongkui Jeme Tienyow Honors College Beijing Jiaotong University Beijing100044 China School of Electronic and Information Engineering Beijing Jiaotong University Beijing100044 China National Engineering Research Center of Rail Transportation Operation and Control System Beijing Jiaotong University Beijing100044 China

ISBN: (纸本)9781510668331

Railway point machine is the key equipment to control the train path and change the operation direction. Considering the anti-interference characteristics of vibration signals, this paper innovatively proposes a fault diagnosis method for point machine based on vibration signal, which provides a new fault diagnosis method for point machine. Firstly, the vibration data of the point machine are preprocessed by using variational mode decomposition (VMD). Secondly, a hybrid feature extraction method is developed by combining various methods such as wavelet transform and frequency-domain feature extraction method, which can characterize the fault features more comprehensively. Finally, support vector machine (SVM) algorithm is used to judge fault conditions. The diagnosis accuracies of localization and inverse switching processes reach 100% and 98.9%, respectively. Comparative experiments indicate the superiority of the proposed method. © 2023 SPIE.

关键词： Failure analysis

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