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43rd Chinese control Conference, CCC 2024

作者： Liu, Siyang Li, Tong Shao, Jinliang Zheng, Wei Xing University of Electronic Science and Technology of China School of Automation Engineering Chengdu611731 China Laboratory of Electromagnetic Space Cognition and Intelligent Control Beijing100089 China Western Sydney University School of Computer Data and Mathematical Sciences SydneyNSW2751 Australia

ISBN: (纸本)9789887581581

Community search is the problem of identifying the community in which a given node resides. Different from traditional community search methods based on specific topological structures, this paper proposes a community search algorithm based on containment control of multi-agent system by studying the influence of opinion leaders with competitive relationships in community formation. Firstly, the Breadth-First Search method is used to locally sample the network. Secondly, containment control of multi-agent system is applied to obtain the final state of each node for local community partitioning. Finally, grounded in practical considerations, an effective leadership transfer mechanism is proposed to update the results and enhance search precision. Through experiments on real-world networks and synthetic networks in comparison with three local community detection algorithms, the effectiveness and rationality of our algorithm are demonstrated. © 2024 Technical Committee on control Theory, Chinese Association of automation.

关键词： Multi agent systems

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Attitude control of hypersonic morphing aircraft based on incremental backstepping sliding mode 7

Attitude control of hypersonic morphing aircraft based on in...

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7th International Conference on Intelligent Computing and Signal Processing, ICSP 2022

作者： Liu, Haodong Zhang, Qingzhen Cui, Langfu Han, Xiaoxuan Yu, Yue Beihang University School of Automation Science and Electrical Engineering Beijing China Beijing Aerospace Automatic Control Institute Beijing China

ISBN: (纸本)9781665478571

In order to ensure the attitude stability of hypersonic morphing aircraft in the deformation process, an attitude control scheme based on incremental backstepping sliding mode is proposed for the six-degree-of-freedom model of hypersonic morphing aircraft with nonlinear, strong coupling and external disturbance. The incremental backstepping sliding mode controller is designed based on the idea of incremental nonlinear dynamic inversion, and the external disturbance is compensated by combining the extended state observer. The effectiveness of the aircraft attitude control scheme based on incremental backstepping sliding mode is verified by numerical simulation. The simulation results show that the designed incremental backstepping sliding mode controller can eliminate the chattering phenomenon and ensure the attitude control performance of hypersonic morphing vehicle during deformation. © 2022 IEEE.

关键词： Backstepping

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Avoidance of no-fly zone for Hypersonic Vehicle based on Adaptice Radau Pseudospectral Method 7

Avoidance of no-fly zone for Hypersonic Vehicle based on Ada...

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7th International Conference on Intelligent Computing and Signal Processing, ICSP 2022

作者： Tian, Ruocen Zhang, Qingzhen Cui, Langfu Yu, Yue Beihang University School of Automation Science and Electrical Engineering Beijing China Beijing Aerospace Automatic Control Institute Beijing China

ISBN: (纸本)9781665478571

Aiming at the reentry trajectory planning of hypersonic vehicle, considering the constraints of no fly zone in the process, the reentry guidance scheme is designed based on the adaptive Radau pseudospectrum method;Firstly, the kinematic equations and various constraint models of the reentry section are established. Taking the minimum heat flow and trajectory oscillation in the reentry process as the optimization objective, the control and state variables are discretized by radau pseudo spectrum method, and the reentry trajectory planning problem is transformed into a nonlinear programming problem. Numerical simulation is carried out to verify the effectiveness of the method. The simulation results show that the method can plan the reentry trajectory that meets the constraints of process and no fly zone, and can provide useful support for reentry guidance of hypersonic vehicles. © 2022 IEEE.

关键词： Nonlinear programming

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Digital CEOs in Digital Enterprises:Automating,Augmenting,and Parallel in Metaverse/CPSS/TAOs

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IEEE/CAA Journal of Automatica Sinica 2024年第4期11卷 820-823页

作者： Juanjuan Li Rui Qin Sangtian Guan Xiao Xue Peng Zhu Fei-Yue Wang with State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China the College of Intelligence and Computing Tianjin UniversityTianjin 300072China School of Economics and Management Nanjing University of Science and TechnologyNanjing 210094China the State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190 Faculty of Innovation Engineering Macao University of Science and TechnologyMacao 999078China

BIG models or foundation models are rapidly emerging as a key force in advancing intelligent societies[1]–[3]Their significance stems not only from their exceptional ability to process complex data and simulate advan... 详细信息

关键词： exceptional Auto advancing

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Implicit Scene Context-aware Interactive Trajectory Prediction for Autonomous Driving

IEEE Transactions on Intelligent Vehicles

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IEEE Transactions on Intelligent Vehicles 2023年第9期9卷 1-17页

作者： Lan, Wenxing Li, Dachuan Hao, Qi Zhao, Dezong Tian, Bin Research Institute of Trustworthy Autonomous Systems Southern University of Science and Technology Shenzhen China James Watt School of Engineering University of Glasgow Glasgow U.K State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences China

The accurate prediction of behaviors of surrounding traffic participants is critical for autonomous vehicles (AV). How to fully encode both explicit (e.g., map structure and road geometry) and implicit scene context information (e.g., traffic rules) within complex scenarios is still challenging. In this work, we propose an implicit scene context-aware trajectory prediction framework (the PRISC-Net, Prediction with Implicit Scene Context) for accurate and interactive behavior forecasting. The novelty of the proposed approach includes: 1) development of a behavior prediction framework that takes advantage of both model- and learning-based approaches to fully encode scene context information while modeling complex interactions;2) development of a candidate path target predictor that utilizes explicit and implicit scene context information for candidate path target prediction, along with a motion planning-based generator that generates kinematic feasible candidate trajectories;3) integration of the proposed target predictor and trajectory generator with a learning-based evaluator to capture complex agent-agent and agent-scene interactions and output accurate predictions. Experiment results based on vehicle behavior datasets and real-world road tests show that the proposed approaches outperform state-of-the-art methods in terms of prediction accuracy and scene context compliance. IEEE

关键词： Trajectories

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Dual-Class Leader-Following Modeling for Collective Motion of Multi-Agent Systems 43

Dual-Class Leader-Following Modeling for Collective Motion o...

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43rd Chinese control Conference, CCC 2024

作者： Zhang, Bo Li, Haoqi Meng, Bin Hu, Jiangping Ghosh, Bijoy Kumar Beijing Institute of Control Engineering Beijing100080 China University of Electronic Science and Technology of China School of Automation Engineering Chengdu611731 China University of Electronic Science and Technology of China Huzhou313000 China Texas Tech University Department of Mathematics and Statistics LubbockTX79409 United States

ISBN: (纸本)9789887581581

Leader-follower collective motion is a key multi-agent network application. However, conventional methods struggle with high dynamics or communication interferences and fail to maintain consistent motion. To address this issue, a resilient dual-class cooperative following (DCCF) model is proposed. This model uses two movement strategies for the different follower categories. Leader-connected followers use a single-tracking control based on velocity or direction, whereas leader-disjoint followers employ a modified relative speed for single tracking. The DCCF model may be more suitable for practical use than existing ones. Simulations under degraded conditions demonstrate its superior tracking performance and robustness over traditional methods. © 2024 Technical Committee on control Theory, Chinese Association of automation.

关键词： collective motion dual-class cooperative following leader-follower tracking Multi-agent network

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An Online Evaluation Based Extended-State Kalman Filter Approach to Navigation Via Signal of Opportunity 13

An Online Evaluation Based Extended-State Kalman Filter Appr...

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13th IEEE Data Driven control and Learning Systems Conference, DDCLS 2024

作者： Liu, Junyuan Chen, Xuanwen Chen, Sen Bai, Wenyan Wang, Yinghui Zhao, Zhiliang Airborne Avionics Flight Test Institute Chinese Flight Test Establishment Xi'an710089 China Beijing Aerospace Automatic Control Institute Beijing100854 China School of Automation and Electrical Engineering University of Science and Technology Beijing100083 China School of Mathematics and Statistics Shaanxi Normal University Xi'an710119 China School of Electrical and Control Engineering North Central University Taiyuan030051 China

ISBN: (纸本)9798350361674

This paper studies the problem of multi-source opportunistic signal navigation of aircraft. Firstly, the paper provides the mathematical models for five types of opportunistic signals. Furthermore, the online evaluation algorithm based on T-test is proposed for seeking the biased opportunistic signals. By disposing of the opportunistic signals causing intolerant location error, an estimated location position is obtained by trusty opportunistic signals. Finally, to handle the unknown part of flight acceleration caused by external disturbances, the extended-state Kalman filter is constructed to promote the locating accuracy. The simulation results show the effectiveness of the proposed method. © 2024 IEEE.

关键词： Extended Kalman filters

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Multi-Blockchain Based Data Trading Markets With Novel Pricing Mechanisms

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IEEE/CAA Journal of Automatica Sinica 2023年第12期10卷 2222-2232页

作者： Juanjuan Li Junqing Li Xiao Wang Rui Qin Yong Yuan Fei-Yue Wang IEEE the State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China the College of Computer Science and Engineering Shandong University of Science and TechnologyQingdao 266590China the School of Artificial Intelligence Anhui UniversityHefei 266114 the Qingdao Academy of Intelligent Industries Qingdao 230031China the School of Mathematics Renmin University of ChinaBeijing 100872China the State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190 the Faculty of Innovation Engineering Macao University of Science and TechnologyMacao 999078China

In the era of big data,there is an urgent need to establish data trading markets for effectively releasing the tremendous value of the drastically explosive *** security and data pricing,however,are still widely regarded as major challenges in this respect,which motivate this research on the novel multi-blockchain based framework for data trading markets and their associated pricing *** this context,data recording and trading are conducted separately within two separate blockchains:the data blockchain(DChain) and the value blockchain(VChain).This enables the establishment of two-layer data trading markets to manage initial data trading in the primary market and subsequent data resales in the secondary ***,pricing mechanisms are then proposed to protect these markets against strategic trading behaviors and balance the payoffs of both suppliers and ***,in regular data trading on VChain-S2D,two auction models are employed according to the demand scale,for dealing with users’ strategic *** incentive-compatible Vickrey-Clarke-Groves(VCG)model is deployed to the low-demand trading scenario,while the nearly incentive-compatible monopolistic price(MP) model is utilized for the high-demand trading *** temporary data trading on VChain-D2S,a reverse auction mechanism namely two-stage obscure selection(TSOS) is designed to regulate both suppliers’ quoting and users’ valuation ***,experiments are carried out to demonstrate the strength of this research in enhancing data security and trading efficiency.

关键词： Auction data trading markets multi-blockchain pricing mechanisms

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Distributed Nash equilibrium for pursuit-evasion game with one evader and multiple pursuers

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science China(Information sciences) 2025年

作者： Libing WANG Zhixin LIU Shuo YUAN Zhiqiang PU Key Laboratory of Systems and Control Academy of Mathematics and Systems ScienceChinese Academy of Sciences School of Mathematical Sciences University of Chinese Academy of Sciences Department of Electrical and Computer Engineering Wayne State University Institute of Automation Chinese Academy of Sciences

This paper investigates the pursuit-evasion problem involving one evader and multiple pursuers with limited sensing capability, where the evader tries to maximize the distance with the pursuers, while the pursuers have different objectives based on whether they can receive the information of the evader. The subgroup of pursuers who can observe the evader(called leaders) tries to be close to the evader, and the other subgroup of pursuers(called followers) tries to synchronize with their neighbors. When the subgraph formed by all leaders is complete, sufficient conditions are given to guarantee that the pursuers capture the evader and the pursuit-evasion game composed of the evader and leaders reaches Nash equilibrium. Furthermore, for the incomplete subgraph case, the distributed observers are proposed to estimate the relative positions between the evader and all leaders. It is shown that the distributed control strategy based on the observers converges exponentially to the Nash equilibrium solution, and makes the pursuers capture the evader. Finally, simulation examples are provided to verify the effectiveness of the proposed strategies.

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DYNAMIC COUPLING ANALYSIS OF OIL FILM IN SLIPPER PAIR OF AXIAL PISTON PUMP

DYNAMIC COUPLING ANALYSIS OF OIL FILM IN SLIPPER PAIR OF AXI...

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2024 CSAA/IET International Conference on Aircraft Utility Systems, AUS 2024

作者： Zhang, Yunhao Chen, Rentong Zhang, Chao Wangia, Shaoping Han, Hailiang School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Ningbo Institute of Technology Beihang University Ningbo315800 China AVIC Xi'an Flight Automatic Control Research Institute Xi'an710065 China

In this paper, the dynamic coupling characteristics of the oil film of the slipper pair of the axial piston pump are analysed to achieve optimize the performance of the pump and prolong its *** oil chamber pressure model of the slipper is first established to obtain the boundary conditions of the lubricated surface of the slippers. Then the multi-field coupling model is established based on Reynolds *** finite difference and Newton-Raphson methods were utilized to simulate the fluctuating oil film thickness. The findings indicate that the oil film's temperature peaks under high pressure and dips under low pressure, with a more pronounced tilt in the latter. These numerical insights shed light on the complex interactions within the slipper pair's oil film dynamics. © The Institution of engineering & Technology 2024.

关键词： Newton-Raphson method

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