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2023 China Automation Congress, CAC 2023

作者： Yihan, Liu Dong, Sun Han, Yan Quanrun, Mu Xiaochao, Liu Pengyuan, Qi School of Automation Science and Electrical Engineering Beihang University Beijing China Beijing Institute of Control Engineering National Key Laboratory of Space Intelligent Control Beijing100094 China Beijing Sun Wise Space Technology Ltd. Beijing100190 China Research Institute for Frontier Science Beihang University Beijing China

ISBN: (纸本)9798350303759

With the rapid advancements in space offensive and defensive countermeasure technologies, the scope of international confrontation has expanded beyond the traditional domains of sea, land, and air, reaching into the realm of space. In modern military warfare, the focus has shifted from solely physical and informational aspects to include the cognitive domain. Within this domain, intent recognition emerges as a crucial technology, offering tactical insights and decision-making guidance for future wars. This paper presents an intention recognition algorithm for space target behaviors, utilizing a long short-term memory (LSTM) network. By incorporating time series motion parameters and the relative relationships between enemy and friendly satellite, the algorithm identifies the tactical intentions behind space target orbital behaviors. Additionally, a space target attack and defense scenario simulation environment is established using MATLAB and C-W equations, enabling the creation of a dataset for space target recognition. Through the proposed method, the simulation effectively discerns the orbital behavior intentions of space targets, providing valuable guidance for battlefield decision-making. © 2023 IEEE.

关键词： Long short-term memory

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Interval Type-2 Fuzzy Hierarchical Adaptive Cruise Following-control for Intelligent Vehicles

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IEEE/CAA Journal of Automatica Sinica 2022年第9期9卷 1658-1672页

作者： Hong Mo Yinghui Meng Fei-Yue Wang Dongrui Wu the College of Electric and Information Engineering Changsha University of Science and TechnologyChangsha 410114China the State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190 Qingdao Academy of Intelligent Industries Qingda 266109 the Center of China Economic and Social Security University of Chinese Academy of SciencesBeijing 100190China the Ministry of Education Key Laboratory on Image Information Processing and Intelligent Control the School of Artificial Intelligence and AutomationHuazhong University of Science and TechnologyWuhan 430074China

Intelligent vehicles can effectively improve traffic congestion and road traffic *** cruise followingcontrol(ACFC)is a vital part of intelligent *** this paper,a new hierarchical vehicle-following control strategy is presented by synthesizing the variable time headway model,type-2 fuzzy control,feedforward+fuzzy proportion integration(PI)feedback(F+FPIF)control,and inverse longitudinal dynamics model of ***,a traditional variable time headway model is improved considering the acceleration of the lead ***,an interval type-2 fuzzy logic controller(IT2 FLC)is designed for the upper structure of the ACFC system to simulate the driver's operating *** reduce the nonlinear influence and improve the tracking accuracy for the desired acceleration,the control strategy of F+FPIF is given for the lower control ***,the lower control method proposed in this paper is compared with the fuzzy PI control and the traditional method(no lower controller for tracking desired acceleration)***,the proportion integration differentiation(PID),linear quadratic regulator(LQR),subsection function control(SFC)and type-1 fuzzy logic control(T1 FLC)are respectively compared with the IT2 FLC in control performance under different ***,the simulation results show the effectiveness of IT2 FLC for the upper structure and F+FPIF control for the lower structure.

关键词： Adaptive cruise following-control(ACFC) feedforward+fuzzy proportion integration(PI)feedback(F+FPIF) type-2 fuzzy control variable time headway

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Sliding-mode Model Predictive control for PMSMs with Current Compensation 13

Sliding-mode Model Predictive Control for PMSMs with Current...

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13th International Conference on Power and Energy Systems, ICPES 2023

作者： Li, Peng Zhang, Sai Shen, Anwen Tang, Qipeng Wuhan Second Ship Design and Research Institute Hubei Key Laboratory of Marine Electromagnetic Detection and Control Wuhan China Huazhong University of Science and Technology School of Artificial Intelligence and Automation Wuhan China

ISBN: (纸本)9798350345063

Model predictive control (MPC) methods are widely used in permanent magnet synchronous motor (PMSM);however, How to minimize the impact of system delay and motor parameter perturbation on the operation of PMSM is the key to constrain the MPC. To address the problem of current disturbance caused by system delay and motor parameter perturbation, we will propose a series of sliding modes to suppress current disturbances caused by above reasons. Besides, The PMSM model is used to analyse the causes of system delay. Then, the current disturbance caused by parameter perturbation is introduced into the adaptive sliding mode control algorithm for suppression, and the relevant theoretical proof is given. Finally, the effectiveness of the overall scheme is verified through simulations. © 2023 IEEE.

关键词： Model predictive control

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Evolution of Constellation Reconstruction for Enhanced Regional Communication Capability

Evolution of Constellation Reconstruction for Enhanced Regio...

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2023 China Automation Congress, CAC 2023

作者： Dong, Sun Yihan, Liu Han, Yan Xiaochao, Liu Pengyuan, Qi School of Automation Science and Electrical Engineering Beihang University Beijing China Beijing Institute of Control Engineering National Key Laboratory of Space Intelligent Control Beijing100094 China Beijing Sun Wise Space Technology Ltd. Beijing100190 China Research Institute for Frontier Science Beihang University Beijing China

ISBN: (纸本)9798350303759

In the era of global personal communication and the rapid progress of small satellite technology, low-orbit constellations have emerged as a focal point for countries worldwide. These constellations, primarily employed for communication purposes, offer advantages such as enhanced signal strength and shorter revisit cycles due to their proximity to the Earth's surface. However, the high deployment cost associated with the large number of satellites in low-orbit constellations poses a significant challenge. As launch costs continue to decline and the number of satellites in constellations increases, there is a growing interest in leveraging these constellations during times of war or sudden disasters in specific regions. This entails designing communication-enhanced constellations tailored to the targeted area and formulating an active configuration evolution plan that facilitates seamless transition from the existing constellation to the desired configuration. The objective of this paper is to propose a scheme for optimizing constellation parameters to enhance communication capabilities within a specific region. Additionally, an active configuration evolution scheme with minimal fuel consumption is introduced to effectively address emergency scenarios. © 2023 IEEE.

关键词： Orbits

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A Multi-Agent Routing Algorithm with Trajectory Prediction for Highly Dynamic UAV Networks 22

A Multi-Agent Routing Algorithm with Trajectory Prediction f...

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22nd International Conference on Optical Communications and Networks, ICOCN 2024

作者： Zhao, Ziyi Zhang, Qi Li, Yuanfeng Xin, Xiangjun Ma, Jianxin Sun, Meng Zhao, Yi Chai, Furong Tian, Feng Wang, Fu Tian, Qinghua Wang, Yongjun Beijing100876 China BUPT Beijing Key Laboratory of Space-ground Interconnection and Convergence Beijing100876 China National University of Defense Technology Science and Technology on Information Systems Engineering Laboratory Changsha410073 China School of Information and Electronics Beijing Institute of Technology Beijing100081 China Beijing Institute of Control and Electronic Technology Beijing100038 China

To address the routing problems in high-dynamic UAV networks, a multi-agent routing algorithm with trajectory prediction is proposed. Simulations show the proposed algorithm can achieve better performance on the end-t... 详细信息

ISBN: (纸本)9798350367652

关键词： Unmanned aerial vehicles (UAV)

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Location and Capacity of Charging Station with Random Spatial-Temporal Distribution of Charging Demands 13

Location and Capacity of Charging Station with Random Spatia...

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13th IEEE International Conference on CYBER technology in Automation, control, and Intelligent Systems, CYBER 2023

作者： Jiang, Man Cao, Zhong Niu, Yinsheng Zhang, Xueyu Liu, Xiao-Kang Yuan, Qi-Fan CentralChina Branch of State Grid Corporation of China Wuhan China School of Artificial Intelligence and Automation Key Laboratory of Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan430074 China

ISBN: (纸本)9798350315196

This paper studies the problem of location and capacity for direct charging (DC) fast charging stations (CS). A new model with the random spatial-temporal distribution of charging demands is proposed to plan both the location and capacity for CSs and is modeled as a nonlinear optimization problem with a comprehensive cost function and multi-variable that can be solved by an improved genetic algorithm. Further, the trip chain of EV users is considered to describe the traveling characteristics based on the origin-destination (OD) matrix, and then the Voronoi diagram is used to divide the service area of each CS. The effectiveness of both the model and the improved genetic algorithm is demonstrated through the final simulation results and comparative analyses. © 2023 IEEE.

关键词： Location

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Time-varying group formation tracking for UAV swarm systems with collision avoidance 38

Time-varying group formation tracking for UAV swarm systems ...

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38th Youth Academic Annual Conference of Chinese Association of Automation, YAC 2023

作者： Yu, Jintong Hua, Yongzhao Yu, Jianglong Dong, Xiwang Ren, Zhang Beihang University Institute of Artificial Intelligence Beijing China Beihang University Sch. of Automat. Sci. and Elec. Engineering Science and Technology on Aircraft Control Laboratory Beijing China

ISBN: (纸本)9798350303636

Aiming at the tracking and control problem of UAV swarm formation, it has important application value in civil fields such as environmental monitoring, disaster rescue, regional logistics Based on the consensus control theory, this paper proposes an unmanned aerial vehicle (UAV) group formation tracking control method with a collision avoidance mechanism. The designed control approach is verified on the Matlab simulation platform respectively. A physical verification is built by using motion capture as external positioning system, and the physical flight of the Tello UAV swam system is carried out. The results verify the effectiveness of the designed UAV group formation tracking control method with a collision avoidance mechanism. © 2023 IEEE.

关键词： artificial potential field collision avoidance consensus method UAV experiment platform UAV formation tracking

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Improved tentacle-based method based on approximate analysis for entry flight

Improved tentacle-based method based on approximate analysis...

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Chinese control and Decision Conference, CCDC

作者： Zhu Yichuan Li Ling Mu Rui National Key Laboratory of Science and Technology on Aerospace Intelligence Control Beijing Aerospace Automatic Control Institute Beijing China National Key Laboratory of Science and Technology on Aerospace Intelligence Control Committee of Science and Technology Beijing China Software Laboratory Beijing Aerocim Technology Co. Beijing China

Aiming at the no-fly zone constraint in the process of aircraft gliding reentry, this paper presents an improved strategy for tentacle-based detection. The turning radius and reference pitch angle of the aircraft can be obtained by approximate analytical solution and then the waypoint can be obtained according to geometric relationship. Next tentacle-based method is used to correct the trajectory to meet the flight requirements. By approximate analytical solution programming, the number of tentacles required can be reduced, and the influence of integration process on the calculation efficiency can be reduced, thus the calculation time can be shortened effectively. After the no-fly zone is bypassed, height planning is performed to meet the terminal height constraints. The simulation results show that this method can effectively avoid the no-fly zone and satisfy various constraints of gliding reentry process, and The calculation time is shortened to 22.24%.

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Pruning CNN based on Combinational Filter Deletion 50

Pruning CNN based on Combinational Filter Deletion

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50th Annual Conference of the IEEE Industrial Electronics Society, IECON 2024

作者： Huang, Wenli Wang, Xiujie Zhao, Zhihong Su, Li Sui, Shuai Wang, Jinjun School of Electronic and Information Engineering Ningbo University of Technology Ningbo China Science and Technology on Communication Networks Laboratory Shijiazhuang China Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin China Liaoning University of Technology Jinzhou China Institute of Artificial Intelligence and Robotic Xi’an Jiaotong University Xi’an China

ISBN: (纸本)9781665464543

Network pruning is a figurative model compression technique designed to lighten and accelerate neural network models. Most existing pruning methods prioritize the selection of filters by their importance or apply regularization based on the properties of individual filters, neglecting the internal connections within combinations of multiple filters. This work introduces a pruning method termed Combinational Filter Deletion (CFD), which incorporates a straightforward yet effective evaluation metric based on the diversity of filter combination distributions to reveal the characteristics inherent to multiple filter interactions. CFD enables the exploration of an expanded search space, offering a greater array of choices and leveraging the intrinsic information of conventional layers. Moreover, this method is both general and non-exclusive, capable of enhancing the efficacy of other single-filter-based pruning techniques. © 2024 IEEE.

关键词： Wiener filtering

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Research on Improved Variable Range Tentacle-Based Maneuver Guidance Strategy

Research on Improved Variable Range Tentacle-Based Maneuver ...

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Computer Communication and Artificial intelligence (CCAI), International Conference on

作者： Yichuan Zhu Ling Li Shaoqi He Rui Mu Haoyu Huang National Key Laboratory of Science and Technology on Aerospace Intelligence Control Beijing Aerospace Automatic Control Institute Beijing China Committee of Science and Technology National Key Laboratory of Science and Technology on Aerospace Intelligence Control Beijing China Software Laboratory Beijing Aerocim Technology Co. Beijing China

For the reentry gliding process of high-speed aircraft, the aircraft can fly by adjusting the angle of bank and angle of attack. However, in addition to considering the reentry constraints, the avoidance of the no-fly zone should also be considered during the flight. For the no-fly zone undiscovered before launch, the high-speed aircraft needs to plan its trajectory online, which puts forward high requirements for the rapidity and real-time of its planning speed. This paper proposes a maneuver strategy with variable tentacle detection range, which tests the actual flight process through tentacle detection, selects the optimal tentacle command to meet the flight requirements, and reduces the number of tentacles through different tentacle detection strategies, Reducing the impact of the integration process on computational efficiency improves the speed of trajectory planning. Typical examples are used for simulation, and the deflection of aerodynamic data is simulated by Monte Carlo simulation. The results show that this method can effectively avoid the no-fly zone, and can satisfy all constraints in the gliding process. The computing time is 57.7% shorter than the traditional tentacle-based method.

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