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32nd Congress of the International Council of the Aeronautical sciences, ICAS 2021

作者： Xue, Tao Ma, Jinyi Wen, Jiongran Yang, Xizhong Dong, Yiqun Ai, Jianliang Department of Aeronautics and Astronautics Fudan University Shanghai200433 China Science and Technology on Avionics Integration Laboratory Shanghai200233 China

ISBN: (纸本)9783932182914

At present, a variety of autonomous air combat technologies have emerged. However, due to the low degree of algorithm intelligence and the limitations of the airborne computational power, there has not yet been a complete autonomous air combat solution (especially for within-visual-range air combat). This paper proposes that in the short term, the autonomous air combat technology should still be developed in a human-machine collaborative form. To realize such formulation, the tactical decisions and controls of the aircraft must correspond to the human. It is thus necessary to collect and analyze the tactical decisions and commands of human pilots in the air combat. This paper is focused on this work. First, a simulation-based air combat environment is established to construct the human pilots' within-visual-range air combat flight maneuver database. A preliminary analysis was also carried out. It has revealed promising results in terms of time window and decision logics for pilot maneuvering. © 2021 32nd Congress of the International Council of the Aeronautical sciences, ICAS 2021. All rights reserved.

关键词： Database systems

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Hierarchy-based extended CBBA for multi-robot task assignment

Hierarchy-based extended CBBA for multi-robot task assignmen...

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2022 Chinese Automation Congress, CAC 2022

作者： Liu, Jiajun Xia, Weiguo Li, Fuqiang Wang, Peng China National Aeronautical Radio Electronic Research Institute National Key Laboratory of Science and Technology on Avionics System Integration China Dalian University of Technology Key Lab. of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education School of Control Science and Engineering China

ISBN: (纸本)9781665465335

This paper studies the task assignment problem of a multi-robot system with complex constraints including the robot speed limit, the task execution time window constraints, the arrival time, the trip cost, and different priorities of the tasks. A new bidding function is then designed for each robot. Based on the k-means algorithm, a hierarchy-based extended consensus-based bundle algorithm (CBBA) is proposed to find the optimal solution for the task allocation problem. Finally, simulation examples are presented to show the feasibility of the proposed algorithm and comparisons with existing algorithms show that the proposed algorithm can reduce the task assignment time with guaranteed reward values. © 2022 IEEE.

关键词： Multipurpose robots

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Forming Circle Formations of Multi-agent Systems Under Actuator Faults 5th

Forming Circle Formations of Multi-agent Systems Under Actu...

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5th Chinese Conference on Swarm Intelligence and Cooperative Control, CCSICC 2021

作者： Liu, Jiajun Ru, Xinfeng Xia, Weiguo Wang, Chen China National Aeronautical Radio Electronic Research Institute and National Key Laboratory of Science and Technology on Avionics System Integration Shanghai China Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education and School of Control Science and Engineering Dalian University of Technology Dalian China National Engineering Research Center of Software Engineering and the State Key Laboratory of Turbulence and Complex Systems Intelligent Biomimetic Design Lab College of Engineering Peking University Beijing China

ISBN: (纸本)9789811939976

A distributed fault-tolerant formation control law is designed in this paper for multi-agent systems under external disturbances and actuator faults including time-varying loss of effectiveness faults. The initial position of each agent is already on a circle and the control purpose is to form a desired formation on this circle. Based on this local information, a distributed adaptive formation control law is designed by employing the congelation of variables method to deal with time-varying actuator faults. Finally, a simulation example is given to verify the effectiveness of the adaptive fault-tolerant control design method. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Multi agent systems

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Exploring the Design of Distributed Task-Driven Networks within the Framework of SDN Network Architecture

Exploring the Design of Distributed Task-Driven Networks wit...

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Electronic Information Engineering and Computer science (EIECS), 2021 International Conference on

作者： Xueli Zheng Xiaoxi Wang Jiakun Cai Zhihuai Shan Jing Yu Science and Technology on Avionics Integration Laboratory Aeronautical Radio Electronics Reseach Institute Shanghai China Wireless Communication Research Laboratory Gauss Intelligent Technology Co. Ltd. Chengdu China

This article elaborates upon an aeronautical tactical network architecture grounded in distributed task requirements. In response to the communication demands inherent in future aerial combat paradigms, we have conceived a data-link network framework tailored to meet the imperatives of mission-driven scenarios. Owing to the intricate demands of the operational environment, conventional airborne data link systems encounter challenges when endeavoring to achieve cross-platform interoperability. The introduction of the Software-Defined Networking (SDN) architecture, however, furnishes a solution. Through centralized control and network management, it empowers constituents to promptly respond, engage in efficient decision-making, and facilitate collaborative combat operations. Furthermore, this article delves comprehensively into topics including task allocation and scheduling, as well as the southbound protocol overhead, offering viable resolutions. In contrast to traditional network optimization, the design philosophy of Software-Defined Networking (SDN) has been innovatively harnessed to shape a network architecture founded upon the principles of distributed task requirements. By amalgamating the tenets of SDN and task-driven attributes, this approach intertwines mission planning with network management, fulfilling the communication requisites of distributed task administration, ultimately culminating in a communication architecture tailored for aeronautical networks.

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Semi-supervised Deep Metric GCN Based on Contrastive Learning for Remote Sensing Image Characterization

Semi-supervised Deep Metric GCN Based on Contrastive Learnin...

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Chinese Intelligent Automation Conference, CIAC 2021

作者： Feng, Xiaoxin Wang, Zijian Qiu, Xuyi Tang, Zhiri Wu, Qi Department of Automation Shanghai Jiao Tong University Shanghai200240 China Data Science Institute Columbia University New York City10027 United States Science and Technology on Avionics Integration Laboratory China National Aeronautical Radio Electronics Research Institute Shanghai200233 China

ISBN: (纸本)9789811663710

Due to the prominent capability of deep neural networks in capturing the semantic feature from images, deep learning methods have been widely applied for remote sensing (RS) semantic understanding. However, some RS images have large intra-class dissimilarity and high inter-class similarity. Moreover, deep learning-based methods require a large amount of annotated RS images, which is difficult because manual annotation is time-consuming and laborious. To address these problems, we propose a novel semi-supervised deep metric graph convolutional networks (GCN) based on contrastive learning for RS image characterization. The propagation of labels through the graph allows the model to use the unlabeled images as an additional input. Compared with CNN-based methods, the proposed model can improve the performance of learning the high-level semantic feature and the metric space. Experimental results show the effectiveness of the proposed methods from two aspects, including image classification and image retrieval. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Remote sensing

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A New Service-Oriented Architecture Design Method for avionics SoS 32

A New Service-Oriented Architecture Design Method for Avioni...

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32nd Congress of the International Council of the Aeronautical sciences, ICAS 2021

作者： Bing, Xue Bin, Luo Zhan, ZhiJuan Wang, YunHui Key Laboratory of Science and Technology on Avionics System Integration Shang Hai 200030 China AVIC Aeronautical Radio Electronics Research Institute Shang Hai 200030 China

ISBN: (纸本)9783932182914

Firstly, aiming at the research status of single-platform avionics system architecture modeling, using the methodology of US Department of Defense Architecture Framework(DoDAF)2.0, the service view is exploratorily applied to multi-platform avionics system, and the architecture is developed from a service-oriented perspective to realize the transformation of avionics architecture from product-centric to data-centric, in order to meet the needs of multi-platform avionics system in complex information environment. Then introduce the service-oriented multi-platform avionics system architecture modeling process and core key technologies in detail. At last, through the case of unmanned cluster cooperative detection, the modeling process and results of multi-platform avionics system service architecture are introduced. © 2021 32nd Congress of the International Council of the Aeronautical sciences, ICAS 2021. All rights reserved.

关键词： Metadata

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Dynamic Analysis of Service-oriented Advanced avionics System based on Stochastic Evolutionary Game

Dynamic Analysis of Service-oriented Advanced Avionics Syste...

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Chinese Automation Congress (CAC)

作者： Zhaohui Liu Qingchun Liu Bingfei Li Shuo Zhang National Key Laboratory of Science and Technology on Avionics System Integration China National Aeronautical Radio Electronic Research Institute Shanghai China

Service-oriented advanced avionics system(SOAAS) is a complex network system with different stakeholders. Stake-holders are irrational behavior and may take aberrant behaviors in advanced avionics system. Different behavior will lead the avionics system to different states. In order to accurately predict the development trend of SOAAS and grasp its dynamic characteristics, stochastic evolutionary game theory is applied to study and analyze SOAAS in this paper. A multi-party game model is constructed to describe the behaviours of participant, and Ito stochastic differential equation is established based on stochastic theory to break through the limitation of replicator dynamics equation. The stability problem of SOAAS is effectively analyzed, and sufficient conditions of system stability are given. Simulation results show the correct and practicable of the established game model and analysis method.

关键词： Simulation Indium tin oxide Stochastic processes Games Aerospace electronics Mathematical models Stability analysis

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S2KAN-SLAM: Elastic Neural LiDAR SLAM with SDF Submaps and Kolmogorov-Arnold Networks

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IEEE Transactions on Circuits and Systems for Video technology 2025年

作者： Wang, Zhong Zhang, Lin Wang, Hesheng Shanghai Jiao Tong University State Key Laboratory of Avionics Integration and Aviation System-of-Systems Synthesis Department of Automation Key Laboratory of System Control and Information Processing of Ministry of Education Shanghai200240 China Tongji University School of Computer Science and Technology National Pilot Software Engineering School with Chinese Characteristics Shanghai201804 China

Traditional LiDAR SLAM approaches prioritize localization over mapping, yet high-precision dense maps are essential for numerous applications involving intelligent agents. Recent advancements have introduced methods leveraging neural fields to enhance mapping capabilities;however, these approaches still face several limitations. Firstly, concerning scene representation, they typically employ neural fields with high-dimensional features and multi-layer perceptron decoders utilizing non-continuous activation functions. This results in low learning efficiency and challenges in capturing high-frequency signals. Secondly, in terms of scene organization, these methods often treat the entire scene as a singular neural field, leading to inefficiencies, inflexibility, and difficulties in rectifying accumulated errors when mapping large-scale environments over extended periods. To tackle the first issue, we propose a lightweight continuous SDF regression approach by encoding the scene in single-valued embeddings and decoding SDF values from a Kolmogorov-Arnold Network. By minimizing discrepancies in measuring range, sampling distance, and decoded SDF values, we facilitate iterative frame-to-model tracking and bundle adjustment neural mapping. To mitigate the second challenge, we propose structuring the whole scene into multiple neural SDF submaps. By establishing node-node, node-submap, and loop closure constraints into a global pose graph, the system can create dense neural maps with global consistency across large-scale scenes. Experimental evaluations in both real-world and simulated settings indicate that our system achieves superior mapping completeness and accuracy, enhanced learning efficiency, reduced memory consumption, and greater flexibility compared to its counterparts. © 2025 IEEE.

关键词： Mapping

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Stability Analysis of Service-oriented Advanced avionics System based on Evolutionary Game

Stability Analysis of Service-oriented Advanced Avionics Sys...

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2021 China Automation Congress, CAC 2021

作者： Liu, Zhaohui Wang, Zhongjie Liu, Qingchun Li, Bingfei National Key Laboratory of Science and Technology Avionics System Integration China National Aeronautical Radio Electronic Research Institute Shanghai China College of Electronics and Information Engineering Tongji University Shanghai China

ISBN: (纸本)9781665426473

Service-oriented advanced avionics system could implement system integration and information sharing by servicizing resources with multi-participant. In this system, each participant is bounded rational and may take aberrant behaviors. Different participant behaviors will cause the system to evolve towards different directions. In this paper, the evolution of service-oriented advanced avionics system is studied from the perspective of service management. A tripartite asymmetric game model is established to describe the participant behaviors. The replicated dynamic equation is applied to analyze the system stability. The sufficient condition of system stability is given. The research work contributes to predicting and controlling the evolution of this system accurately. The simulation results indicate that the game model and analysis method are correct and practical. © 2021 IEEE

关键词： System stability

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A Distributed Reservation and Contention Combined TDMA Protocol for Wireless avionics Intra-communication Networks 1

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6th EAI International Conference on IoT as a Service, IoTaaS 2020

作者： Zheng, Xueli Zhang, Zhongwang Yan, Xinyang Yan, Zhongjiang Yang, Mao Li, Bo Science and Technology on Avionics Integration Laboratory Shanghai200233 China China Aeronautical Radio Electronics Research Institute Shanghai200241 China School of Information and Electronics Northwestern Polytechnical University Xi’an710072 China

ISBN: (数字)9783030675141

ISBN: (纸本)9783030675134

To reduce the structural complexity of the cabin avionics communication system and meet the increasing demand for data exchange, Wireless avionics Intra-Communication (WAIC) networks attract attentions from the academic and industrial researchers. Based on the analysis of the wired cabin avionics bus communication system and the analysis of the short-range wireless communication technologies, this paper firstly shows that Ultra Wideband (UWB) could be taken as the candidate technology of WAIC networks. To guarantee the maximum data transmission delay and improve the channel utilization, this paper proposes a Distributed Reservation and Contention Combined (DRCC) TDMA protocol for WAIC networks. Firstly, AP allocates the time slots to each node to ensure that each node can reserve the channel to transmit data. This can help guarantee the maximum data transmission delay. Secondly, if a node does not have data to transmit in its reserved slot, then the others nodes can contend to access into this time slot with p-probability. Simulation results show that compared to the fixed allocated TDMA and p-CSMA the proposed DRCC protocol can improve the throughput by 5% and 50%, respectively. And the average delay can be reduced by 4% and 10%. © 2021, ICST Institute for Computer sciences, Social Informatics and Telecommunications Engineering.

关键词： Electronic data interchange

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