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2022 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2022

作者： Shang, Yaobo Zhang, Dongwei Li, Zhe Liang, Xiaolong Ren, Baoxiang Air Force Engineering University Air Traffic Control and Navigation College Xi'an710051 China Shaanxi Key Laboratory of Meta-Synthesis for Electronic and Information System Xi'an710051 China

ISBN: (数字)9781665499910

ISBN: (纸本)9781665499910

Aiming at the problem of anti-impulse interference in aviation swarms communication system, a time-domain anti-impulse interference algorithm combining nonlinear filtering and interleaving coding is proposed. Firstly, the mathematical model of time-domain impulse interference is established by Middleton Class A model, and then the model is analyzed, and the signal processing methods such as limiting method, punching method and other nonlinear filtering methods are integrated, and the simplified method of channel measurement is obtained. Aiming at the problem of continuous errors caused by continuous pulse interference, a method combining channel coding and outer interleaving is proposed. This method turns continuous errors into random errors through interleaving and deinterleaving, and then uses channel decoding to complete information error correction. Through the analysis and numerical simulation of the demodulation performance of this algorithm, it is proved that it can significantly improve the anti-interference performance of aviation swarms communication system, and it is easy to realize and has good application value. © 2022 IEEE.

关键词： Error correction

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Integrated Capacity Analysis Model and Optimization Based on Conflict Resolution for High-Speed Railway

Integrated Capacity Analysis Model and Optimization Based on...

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2022 Chinese Automation Congress, CAC 2022

作者： Wei, Yuan Ma, Lin Yin, Jiateng Beijing Jiaotong University National Engineering Research Center of Rail Transportation Operation and Control System Beijing100044 China Beijing Jiaotong University State Key Laboratory of Rail Traffic Control and Safety Beijing100044 China

ISBN: (纸本)9781665465335

With the increased demand of passengers, the capacity analysis of high-speed railways has attracted much attention for serving more passengers with limited line resources. Existing methods mainly focused on the capacity analysis of rail sections or stations, separately. Our study first addressed the integrated capacity analysis of high-speed railways. We established an integrated capacity analysis model by combining the signal control of track sections, the overtaking of trains and the capacity of rail stations. Then this paper proposed a conflict resolution strategy based on multi-objective optimization. A real-world case study on the Beijing-Shanghai high-speed railway demonstrated that our approach can better model the influencing factors in high-speed railways and can further improve the line capacity compared with existing approaches. © 2022 IEEE.

关键词： Multiobjective optimization

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Optimizing Fixed-Time Generalized Nash Equilibrium Seeking in Multi-Unmanned Aerial Vehicle Games

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IEEE Transactions on Aerospace and Electronic systems 2025年第3期61卷 6339-6353页

作者： Hua, Menghu Yao, Xiang-Yu Liu, Wen-Jin Geng, Mei-Jie Lv, Maolong China University of Geosciences School of Mechanical Engineering and Electronic Information Wuhan430074 China Ministry of Education Key Laboratory of System Control and Information Processing Shanghai 200240 China Air Force Engineering University College of Air Traffic Control and Navigation Xi'an710038 China

This study addresses a fixed-time generalized noncooperative game involving multiple unmanned aerial vehicles (UAVs) that encounter challenges such as discontinuous communication and external disturbances. Each UAV, motivated by selfinterest, seeks to optimize its performance function by adjusting its actions within shared equality and inequality constraints. To facilitate this, a fixed-time generalized Nash equilibrium (GNE) seeking algorithm is proposed for games with shared equality constraints, incorporating an internal dynamic system to ensure compliance with these constraints. By employing penalty methods, an auxiliary performance function is developed to manage games with mixed constraints. Furthermore, an error decomposition method and a fixed-time observer are introduced to address the issues of discontinuous communication and external disturbances. The study establishes sufficient conditions for the convergence of the fixed-time GNE seeking algorithm and provides an explicit upper bound on the settling time based on Lyapunov stability theory. The effectiveness of the proposed algorithms is demonstrated through various simulation examples. © 1965-2011 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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Research on consensus of multi-agent systems with and without input saturation constraints

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Journal of systems engineering and Electronics 2021年第4期32卷 947-955页

作者： QI Duo HU Junhua LIANG Xiaolong ZHANG Jiaqiang ZHANG Zhihao Air Traffic Control and Navigation College Air Force Engineering UniversityXi’an 710051China Shaanxi Province Lab.of Meta-Synthesis for Electronic&Information System Xi’an 710051China Aeronautical Engineering College Air Force Engineering UniversityXi’an 710038China

In recent years,with the continuous development of multi-agent technology represented by unmanned aerial vehicle(UAV)swarm,consensus control has become a hot spot in academic *** this paper,we put forward a discrete-time consensus protocol and obtain the necessary and sufficient conditions for the second-order consensus of the second-order multi-agent system with a fixed structure under the condition of no saturation *** theoretical derivation verifies that the two eigenvalues of the Laplacian of the communication network matrix and the sampling period have an important effect on achieving *** we construct and verify sufficient conditions to achieve consensus under the condition of input saturation *** results show that consensus can be achieved if velocity,position gain,and sampling period satisfy a set of inequalities related to the eigenvalues of the Laplacian ***,the accuracy and validity of the theoretical results are proved by numerical simulations.

关键词： multi-agent system consensus control input constraint distributed control

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Applying system Thinking to Learn from Accident of Modern Automatic control systems

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Chinese Journal of Electronics 2025年第2期23卷 409-414页

作者： Ru Niu Yuan Cao Xiaocheng Ge Tao Tang State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing China School of Electronics and Information Engineering National Engineering Research Center of Rail Transportation Operation and Control System Beijing Jiaotong University Beijing China Department of Computer Science University of York York UK

Modern societies increasingly rely on automatic control systems. These systems are hardly pure technical systems; instead they are complex socio-technical systems, which consist of technical elements and social components. It is necessary to have a systematic approach to analyze these systems because it is growing evidence that accidents from these systems usually have complex causal factors which form an interconnected network of events, rather than a simple cause-effect chain. We take railway Train control systems (TCS) as an example to demonstrate the importance of the socio-technical approach to analyze the system. The paper presents an investigation of recent high-speed railway accident by applying STAMP - one of the most notable socio-technical system analysis techniques, outlines improvements to the system which could avoid similar accidents in the future. We also provide our valuable feedback for the use of STAMP.

关键词： Sociotechnical systems Analytical models systematics Railway accidents Transportation Medical services Rail transportation systems thinking Research and development Accidents

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Resilient Distributed Quadrotor UAVs Game: Addressing FDI and Physical Attacks

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IEEE Transactions on Vehicular Technology 2025年

作者： Geng, Mei-Jie Ding, Hua-Feng Yao, Xiang-Yu Lv, Maolong China University of Geosciences School of Mechanical Engineering and Electronic Information Wuhan430074 China Key Laboratory of System Control and Information Processing Ministry of Education Shanghai200240 China Air Force Engineering University College of Air Traffic Control and Navigation Xi'an710038 China

Distributed quadrotor unmanned aerial vehicles (UAVs) are increasingly deployed in critical applications, including reconnaissance, disaster response, and transportation, where system resilience is paramount. However, their complex dynamics and reliance on cyber-physical systems make them highly vulnerable to adversities such as uncertain dynamics, time-varying input disturbances, false data injection (FDI), and physical attacks. This paper proposes a hierarchical framework consisting of a game layer and an execution layer to enhance the resilience of a noncooperative game involving distributed UAVs. In the game layer, a novel FDI observer mitigates communication and computational FDI attacks, facilitating convergence to infinitesimal ranges around the Nash equilibrium (NE) point. The execution layer addresses uncertain dynamics and physical attacks, ensuring that UAVs can track a narrow neighborhood of the NE even in the presence of actuator failures. Extensive simulations validate the algorithm's effectiveness and robustness against mixed attack scenarios, underscoring its potential for real-world UAV applications. © 1967-2012 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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Two-Stage OD Flow Prediction for Emergency in Urban Rail Transit

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IEEE Transactions on Intelligent Transportation systems 2024年第1期25卷 920-928页

作者： Zhu, Guangyu Ding, Jiacun Wei, Yun Yi, Yang Xu, Sendren Sheng-Dong Wu, Edmond Q. Beijing Jiaotong University Key Lab. of Transport Industry of Big Data Application Technologies for Comprehensive Transport The Beijing Research Center of Urban Traffic Information Sensing and Service Technologies Beijing100044 China Beijing Mass Transit Railway Operation Corporation Ltd. Beijing100014 China Yangzhou University College of Information Engineering Yangzhou225127 China National Taiwan University of Science and Technology Automation and Control Center The Graduate Institute of Automation and Control Taipei106335 Taiwan Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China The Shanghai Engineering Research Center of Intelligent Control and Management Department of Automation Shanghai200240 China

Urban rail transit (URT) is vulnerable to natural disasters and social emergencies including fire, storm and epidemic (such as COVID-19), and real-time origin-destination (OD) flow prediction provides URT operators with important information to ensure the safety of URT system. However, hindered by the high dimensionality of OD flow and the lack of supportive information reflecting the real-time passenger flow changes, study in this area is at the beginning stage. A novel model consisting of two stages is proposed for OD flow prediction. The first stage predicts the inflows of all stations by Long Short-Term Memory (LSTM) in real time, where the dimension is reduced compared with predicting OD flows directly. In the second stage, the notion of separation rate, namely, the proportion of inbound passengers bounding for another station, is estimated. Finally, The OD flow is predicted by multiplying the inflow and separation rate. Experiments based on Hangzhou Metro dataset show the proposed model outperforms the contrast model in weighted mean average error (WMAE) and weighted mean square error (WMSE). Results also suggest that the proposed prediction model performs better on weekdays than on weekends, and with greater accuracy on larger OD flows. © 2000-2011 IEEE.

关键词： Forecasting

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Distributed optimization for discrete-time multiagent systems with nonconvex control input constraints and switching topologies

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Chinese Physics B 2021年第12期30卷 283-290页

作者： Xiao-Yu Shen Shuai Su Hai-Liang Hou School of Automation Central South UniversityChangsha 410083China National Engineering Research Center of Rail Transportation Operation and Control System Beijing Jiaotong UniversityBeijing 100044China State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong UniversityBeijing 100044China

This paper addresses the distributed optimization problem of discrete-time multiagent systems with nonconvex control input constraints and switching *** introduce a novel distributed optimization algorithm with a switching mechanism to guarantee that all agents eventually converge to an optimal solution point,while their control inputs are constrained in their own nonconvex *** is worth noting that the mechanism is performed to tackle the coexistence of the nonconvex constraint operator and the optimization gradient *** on the dynamic transformation technique,the original nonlinear dynamic system is transformed into an equivalent one with a nonlinear error *** utilizing the nonnegative matrix theory,it is shown that the optimization problem can be solved when the union of switching communication graphs is jointly strongly ***,a numerical simulation example is used to demonstrate the acquired theoretical results.

关键词： multiagent systems nonconvex input constraints switching topologies distributed optimization

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Dynamic Passenger Demands Oriented Optimization of Virtually Coupled Train Formation Scheduling

Dynamic Passenger Demands Oriented Optimization of Virtually...

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2022 Chinese Automation Congress, CAC 2022

作者： Zhang, Haobei Tang, Tao Liu, Hongjie Lang, Yinghui Beijing Jiaotong University School of Electronics and Information Engineering Beijing China Beijing Jiaotong University State Key Laboratory of Rail Traffic Control and Safety Beijing China Beijing Jiaotong University National Engineering Research Center of Rail Transportation Operation and Control System Beijing China

ISBN: (纸本)9781665465335

The research on virtual coupling technology in metros is a hot topic recently. Intelligent automatic train units can flexibly form virtually coupled train formations (VCTFs) when needed, so that the train capacity would be able to adapt to passenger demands, which are changing dynamically with time and space. However, matching the capacity of trains with passenger demands is a difficult decision-making optimization problem. In this work, we propose a collaborative control problem to decide when and how to create a VCTF to meet the dynamic passenger demands in a metro system. A mathematical model is formulated which can simultaneously optimize the number of related train units in a VCTF, the train dwelling time at a station and the running time in a section. Performance indicators such as train load factor and number of stranded passengers are adopted to measure the satisfaction of the operators and passengers. Then, a multi-objective genetic algorithm is adopted to obtain the Pareto optimum solutions. Finally, simulation experiments are conducted, and the relationship between line efficiency and passenger demand in different discrete time periods is analyzed to verify the correctness and feasibility of the model. Compared with the traditional timetabling method, adopting the virtual coupling technology can better adapt the train capacity to meet the time changing passenger demands, which is welcomed by both metro operators and passengers in reality. © 2022 IEEE.

关键词： Genetic algorithms

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A Space-Time Interval Based Protection Method for Virtual Coupling

A Space-Time Interval Based Protection Method for Virtual Co...

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2022 Chinese Automation Congress, CAC 2022

作者： Wang, Jiayu Liu, Hongjie Tang, Tao Luo, Xiaolin Chai, Ming Beijing Jiaotong University School of Electronics and Information Engineering Beijing China Beijing Jiaotong University National Engineering Research Centerof Rail Transportation Operation and Control System Beijing China State Key Laboratory of Rail Traffic Control Safety Beijing Jiaotong University Beijing China

ISBN: (纸本)9781665465335

As a recent hot topic in railways, Virtual Coupling (VC) is aimed at providing more frequent rail services by operating trains closer. Given that current protection methods cannot fulfill the requirements of VC in terms of safety and efficiency, the implementation of VC urgently calls for an advanced protection method that allows successive trains to drive closer on the premise of safety. Therefore, to improve efficiency, after the force analysis of the train, a train emergency braking model that can describe the real process of emergency braking is proposed. The train emergency braking distance calculated from this model is smaller compared with the traditional train emergency braking model. Then, to ensure train safety, the deficiencies of the existing relative braking distance(RBD) based protection methods are analyzed. After adding constraints of time and space to the train emergency braking process and using the train emergency braking model proposed in this paper, a space-time interval based protection method is proposed. Compared with the RBD protection method, this method can ensure that the trains can track closer under the premise of safety, which can fulfill the requirements of VC. Finally, experiments are conducted to verify the safety and efficiency of the proposed methods. When the braking performance of the preceding train is worse than that of the following train, the space-time interval based protection method avoids the train colliding during the braking process, while RBD based protection method cannot avoid train collision. Experimental results numerically show that the minimum safe distance can be reduced by 29%, compared with the RBD based protection method. © 2022 IEEE.

关键词： Efficiency

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