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第41届中国控制会议

作者： Yang Jiang Jianglong Yu Qingdong Li Zhang Ren Xiwang Dong Yongzhao Hua School of Automation Science and Electrical Engineering Science and Technology on Aircraft Control LaboratoryBeihang University Institute of Artificial Intelligence Beihang University

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

In this paper,a new guidance law based on deep reinforcement learning is proposed for the high-speed maneuvering target attack ***,the missile-target kinematic model is established,and the action space and state space of reinforcement learning are ***,according to the missile strike process,the reward function suitable for this scenario is *** proximal policy optimization(PPO) based guidance law construction is ***,the strike effect in multiple sets of experiments verifies the effectiveness of the method proposed in this paper.

关键词： reinforcement learning proximal policy optimization high-speed maneuvering target

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Microstructure and mechanical properties stability of pre-hardening treatment in Al-Cu alloys for pre-hardening forming process

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International Journal of Minerals,Metallurgy and Materials 2024年第3期31卷 539-551页

作者： Liping Tang Pengfei Wei Zhili Hu Qiu Pang Hubei Longzhong laboratory Xiangyang 441000China Hubei Key Laboratory of Advanced Technology for Automotive Components School of Automotive EngineeringWuhan University of TechnologyWuhan 430070China Hubei Engineering Research Center for Green&Precision Material Forming Wuhan University of TechnologyWuhan 430070China Key Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education School of Machinery and AutomationWuhan University of Science and TechnologyWuhan 430081China

The stability of the microstructure and mechanical properties of the pre-hardened sheets during the pre-hardening forming(PHF)process directly determines the quality of the formed *** microstructure stability of the pre-hardened sheets was in-vestigated by differential scanning calorimetry(DSC),transmission electron microscopy(TEM),and small angle X-ray scattering(SAXS),while the mechanical properties and formability were analyzed through uniaxial tensile tests and formability *** results in-dicate that the mechanical properties of the pre-hardened alloys exhibited negligible changes after experiencing 1-month natural aging(NA).The deviations of ultimate tensile strength(UTS),yield strength(YS),and sheet formability(Erichsen value)are all less than 2%.Also,after different NA time(from 48 h to 1 month)is applied to alloys before pre-hardening treatment,the pre-hardened alloys possess stable microstructure and mechanical properties as ***,with the extension of NA time before pre-hardening treatment from 48 h to 1 month,the contribution of NA to the pre-hardening treatment is *** a yield strength increment of 20 MPa is achieved,with no loss in *** limited enhancement is mainly attributed to the fact that only a limited number of clusters are transformed into Guinier-Preston(GP)zones at the early stage of pre-hardening treatment,and the formation ofθ''phase inhibits the nucleation and growth of GP zones as the precipitated phase evolves.

关键词： Al-Cu alloy pre-hardened alloy natural aging mechanical properties microstructure

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Cascading Delays for the High-Speed Rail Network Under Different Emergencies:A Double Layer Network Approach

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IEEE/CAA Journal of Automatica Sinica 2023年第10期10卷 2014-2025页

作者： Xingtang Wu Mingkun Yang Wenbo Lian Min Zhou Hongwei Wang Hairong Dong School of Automation Science and Electrical Engineering Beihang UniversityBeijing 100191China School of Control and Computer Engineering North China Electric Power UniversityBeijing 100096China State Key Laboratory of Advanced Rail Autonomous Operation Beijing Jiaotong UniversityBeijing 100044China National Research Center of Railway Safety Assessment Beijing Jiaotong UniversityBeijing 100044China

High-speed rail(HSR) has formed a networked operational scale in China. Any internal or external disturbance may deviate trains’ operation from the planned schedules, resulting in primary delays or even cascading delays on a network scale. Studying the delay propagation mechanism could help to improve the timetable resilience in the planning stage and realize cooperative rescheduling for dispatchers. To quickly and effectively predict the spatial-temporal range of cascading delays, this paper proposes a max-plus algebra based delay propagation model considering trains’ operation strategy and the systems’ constraints. A double-layer network based breadth-first search algorithm based on the constraint network and the timetable network is further proposed to solve the delay propagation process for different kinds of emergencies. The proposed model could deal with the delay propagation problem when emergencies occur in sections or stations and is suitable for static emergencies and dynamic emergencies. Case studies show that the proposed algorithm can significantly improve the computational efficiency of the large-scale HSR network. Moreover, the real operational data of China HSR is adopted to verify the proposed model, and the results show that the cascading delays can be timely and accurately inferred, and the delay propagation characteristics under three kinds of emergencies are unfolded.

关键词： Delay propagation double layer network high speed rail network max-plus algebra

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Consensus-Based Aggregation control and Formation Tracking control for Fixed-Wing UAV Swarm System 7th

Consensus-Based Aggregation Control and Formation Tracking ...

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7th Chinese Conference on Swarm Intelligence and Cooperative control, CCSICC 2023

作者： Hao, Ze Yu, Jianglong Chen, Yang Hu, Yangxiu Dong, Xiwang Ren, Zhang School of Automation Science and Electrical Engineering Science and Technology on Aircraft Control Laboratory Beihang University Beijing100191 China Institute of Artificial Intelligence Science and Technology on Aircraft Control Laboratory Beihang University Beijing100191 China Shanghai Academy of Spaceflight Technology Shanghai201109 China

ISBN: (纸本)9789819733279

This paper investigates the problem of aggregation control and robust formation tracking control for the fixed-wing UAV swarm system after aggregation. Firstly, the dynamic models for aggregation control and formation tracking control of the fixed-wing UAV swarm system are established. Secondly, to solve the problem of large initial takeoff position deviation for multiple unmanned aerial vehicles, a consensus-based aggregation control algorithm is designed to converge the UAV swarm system to any position on a hovering circle to provide proper initial conditions for subsequent tasks. Thirdly, in the formation tracking control process, a nonlinear path tracking control algorithm is employed for leader UAV, and a formation tracking control algorithm based on leader-following navigation is designed for follower UAV swarm system. Finally, simulation results demonstrate that the proposed aggregation control algorithm enables rapid convergence of the UAV swarm system’s initial positions, and the designed formation tracking control achieves algorithm achieves fine formation tracking performance. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Unmanned aerial vehicles (UAV)

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Deep Neural Network-Based Penetration Trajectory Generation for Hypersonic Gliding Vehicles Encountering Two Interceptors 41

Deep Neural Network-Based Penetration Trajectory Generation ...

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第41届中国控制会议

作者： Zhipeng Shen Jianglong Yu Xiwang Dong Zhang Ren School of Automation Science and Electrical Engineering Science and Technology on Aircraft Control LaboratoryBeihang University Institute of Artificial Intelligence Beihang University

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

A deep learning-based approach is developed to address the penetration problem for the hypersonic gliding vehicle(HGV) in this *** dynamics of HGV and the penetration problem are ***,a recently proposed second-order cone programming(SOCP) method is utilized to solve penetration trajectory optimization ***,the generated trajectories are used to train the deep neural network(DNN),which is then applied as the command *** DNN-based controllers are trained offline and act as real-time controllers *** are carried out to verify the effectiveness and real-time performance of the DNN-driven scheme.

关键词： Hypersonic Gliding Vehicle Penetration Trajectory Neural Network Real-Time Interceptors

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Design of an aircraft autonomous traction taxiing system based on hydraulic secondary control

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Chinese Journal of Aeronautics 2024年第6期37卷 348-359页

作者： Xiaochao LIU Zhongyi QIU Hao ZHANG Pengyuan QI Zhenyu WANG Yaoxing SHANG Zongxia JIAO Research Institute for Frontier Science Beihang UniversityBeijing 100083China School of Automation Science and Electrical Engineering Beihang UniversityBeijing 100083China Ningbo Institute of Technology Beihang UniversityNingbo 315800China Tianmushan Laboratory Xixi Octagon CityYuhang DistrictHangzhou 310023China Science and Technology on Aircraft Control Laboratory Beihang UniversityBeijing 100083China Beijing Tianma Intelligent Control Technology Co. Ltd.Beijing 101399China China Coal Research Institute Beijing 100013China

At present,aircraft taxiing at ground airports needs to be provided with a thrust by the main *** taxiing process is inefficient,has high fuel consumption and serious pollution,and is prone to safety *** this paper,a new configuration of aircraft autonomous traction taxiing system is proposed based on the principle of hydraulic secondary control,in which a hydraulic motor drive device is installed at the front wheels of the aircraft to drive the wheels to rotate forward or *** on this,autonomous taxiing can be realized without relying on the main engines,thus greatly improving airport operation ***,this paper analyzes the influencing factors of the autonomous traction taxiing process,and investigates the parameter matching design of the new configuration ***,this paper develops the ground principle prototype,designs the aircraft longitudinal bonding force observer and the aircraft wheel disturbance moment observer,and proposes the speed control method of the aircraft front wheel autonomous traction taxiing by considering the ground bonding force saturation ***,the ground taxiing test is conducted,and the results show that the new configuration proposed in this paper presents a new solution for aircraft autonomous traction taxiing.

关键词： Autonomous traction taxi-ing Hydraulic secondary control Hydraulic motors Saturation characteristics Disturbance observation Speed control

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Editorial:special issue on frontiers of control and automation,dedicated to *** *** 60th birthday

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control Theory and Technology 2023年第3期21卷 263-264页

作者： Jie Chen Jie Huang Lihua Xie Department of Control Science and Engineering Tongji UniversityShanghaiChina Department of Mechanical and Automation Engineering The Chinese University of Hong KongHong KongChina Center for Advanced Robotics Technology Innovation School of Electrical and Electronic EngineeringNanyang Technological UniversitySingaporeSingapore

It is our great pleasure and honor to organize this special issue"Frontiers of control and automation"in honor of the 60th birthday of our long-time colleague and friend Professor Ben *** Chen obtained his *** in mathemat-ics and computer science in 1983 from Xiamen University,China;*** in electrical engineering in 1988 from Gonzaga University,Spokane,Washington,USA;and *** in electrical and computer engineering in 1991 from Washington State University,Pullman,Washington,USA.

关键词： computer Xiamen frontier

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Omnidirectional Vector Measurement Method for Accurate Laser Positioning System 7

Omnidirectional Vector Measurement Method for Accurate Laser...

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7th International Conference on Intelligent Robotics and control engineering, IRCE 2024

作者： Pan, Xiao Liu, Fei Liu, Qing Wang, Zhen Li, Jiapei Cheng, Pengfei Xi'an Aerocomm Measurement and Control Technology Co. Ltd. Xi'an China Xi'an University of Science and Technology School of Materials Science and Engineering Xi'an China Xi'an University of Technology School of Automation and Information Engineering Xi'an China Xi'an University of Technology School of Mechanical and Precision Instrument Engineering Xi'an China

ISBN: (纸本)9798350352399

The accurate laser positioning system (ALPS) is an emerging distributed large-scale laser positioning system, which has shown broad prospects in industrial production, navigation, and other fields. Addressing the issue of reduced measurement accuracy in complex large-space measurement scenarios due to laser signal obstruction encountered by traditional planar and spherical receiver units, this paper analyzes the measurement principle of ALPS. Based on omnidirectional photoelectric array units, a comprehensive vector measurement model is established, and a position and attitude calculation method for omnidirectional vector measurement is studied. Employing the Monte Carlo method based on statistical principles, the feasibility of the position and attitude calculation method is verified through simulation. Additionally, field experiments are conducted in conjunction with a laser tracking system to evaluate the absolute accuracy of the proposed model under point and attitude changes. The results indicate that the point accuracy exceeds 0.24mm with a standard deviation of less than 0.026mm. When attitude changes occur, the horizontal and pitch directions are superior to 0.28mm and 0.47mm, respectively, with standard deviations of less than 0.030mm and 0.032mm, meeting the system's sub-millimeter-level requirements and expanding the application scope of the ALPS system. © 2024 IEEE.

关键词： Monte Carlo methods

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Hawk and pigeon's intelligence for UAV swarm dynamic combat game via competitive learning pigeon-inspired optimization

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science China(Technological sciences) 2022年第5期65卷 1072-1086页

作者： YU YuePing LIU JiChuan WEI Chen School of Automation Science and Electrical Engineering Beihang UniversityBeijing100083China School of Electronic Engineering Xidian UniversityXi’an710071China Hebei Key Laboratory of Electromagnetic Spectrum Cognition and Control The 54th Research Institute of CETCShijiazhuang050081China

For unmanned aerial vehicle(UAV)swarm dynamic combat,swarm antagonistic motion control and attack target allocation are extremely challenging *** this paper,the competitive learning pigeon-inspired optimization(CLPIO)algorithm is proposed to handle the cooperative dynamic combat problem,which integrates the distributed swarm antagonistic motion and centralized attack target ***,the threshold trigger strategy is presented to switch two *** seek a feasible and optimal combat scheme,a dynamic game approach combined with hawk grouping mechanism and situation assessment between sub-groups is designed to guide the solution of the optimal attack scheme,and the model of swarm antagonistic motion imitating pigeon’s intelligence is proposed to form a confrontation *** analysis of the CLPIO algorithm shows its convergence in theory and the comparison with the other four metaheuristic algorithms shows its superiority in solving the mixed Nash equilibrium ***,numerical simulation verifis that the proposed methods can provide an effective combat scheme in the set scenario.

关键词： unmanned aerial vehicle(UAV) competitive learning pigeon-inspired optimization(CLPIO) swarm antagonistic motion attack target allocation dynamic game theory

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Predicting Cell Line-Specific Synergistic Drug Combinations Through Siamese Network with Attention Mechanism 1

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2nd International Conference on Cognitive Computation and Systems, ICCCS 2023

作者： Bao, Xin Chen, XiangYong Qiu, JianLong Wang, Donglin Qian, Xuewu Sun, JianQiang School of Information Science and Engineering Linyi University Linyi276005 China School of Automation and Electrical Engineering Linyi University Linyi276005 China Jinan Key Laboratory of 5G+ Advanced Control Technology Jinan250103 China

ISBN: (数字)9789819708857

ISBN: (纸本)9789819708840

Drug combination therapy holds great promise for curing cancer patients, as it can significantly enhance treatment effectiveness and reduce drug toxicity. However, efficiently identifying synergistic drug combinations from a vast pool of potential drug combinations remains challenging, mainly due to the expensive and time-consuming nature of traditional experimental methods. In this work, we introduce a novel deep learning method called SNAADC for discovering synergistic drug combinations. In SNAADC, we employ Siamese Network and attention mechanism to extract more effective drug features for better performance. The experimental results demonstrate that SNAADC outperforms traditional and popular methods. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Network architecture

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