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11th International Conference on Signal and Information Processing, Network and Computers, ICSINC 2023

作者： Liu, Jie Xu, Yang Chang, Luonan Guo, Zixi Gong, Ligang Gao, Yong Beijing Institute of Control Engineering Beijing100190 China Science and Technology on Space Intelligent Control Laboratory Beijing100190 China

ISBN: (纸本)9789819721153

In order to improve the autonomous operation capability of the long-life satellite with dual satellite autonomous formation flight function requirements during its lifetime, a multi constraint autonomous orbit control scheme for formation flight is proposed. First, the thruster optimization sequence is determined according to the satellite centroid change and thruster installation. Second, real-time hydrazine amount of each thruster is calculated and thus the thruster and target attitude for this orbit control task is able to be settled. Third, both real-time thrust and post-control thrust are estimated by the pressure sensor, followed by thrust coefficient calibration via the measurement of semi-major axis. Experimental results have been verified in orbit that our method can realize autonomous orbit control tasks in various working conditions such as accompanying flight, flying around, and holding point maintenance. Hence, this control scheme can be extended to future satellite networking, which is of great significance. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Calibration

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Research on intelligent Collaborative Perception of space Non-cooperative Targets Based on AOCS Platform 1

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

作者： Du, Hang Hu, Haixia Zhang, Haibo Beijing Institute of Control Engineering Beijing China National Key Laboratory of Science and Technology On Space Intelligent Control Beijing China

ISBN: (数字)9789819733323

ISBN: (纸本)9789819733316

This article provides a detailed introduction to the space non-cooperative targets intelligent collaborative perception module, whose main function is to improve the system’s understanding of the target and task environment through recognition, judgment, learning, and other processes, based on the target model containing multidimensional information obtained from target reconstruction, as well as data resources such as target model characteristic test data and target feature digital volume library. Module includes a space target feature dataset, a space target intelligent cooperative perception algorithm interaction environment, space target model feature clustering and recognition software, space target model matching and situation association software, space target position and attitude measurement software, and a parallel computing module. The dataset is used to train the space target model feature clustering and recognition software to obtain the model parameters of the recognition algorithm, which is used for the recognition of space target identity information and local feature information;the space target model matching and situation association software further associates the recognition information of the local features of the space target. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Association reactions

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A Multi-source Data Fusion Navigation Method of spacecraft with Limited GNSS Signals 14th

A Multi-source Data Fusion Navigation Method of Spacecraft w...

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14th China Satellite Navigation Conference, CSNC 2024

作者： Li, Leyao Chang, Jiansong Guo, Jianxin Beijing Institute of Control Engineering Beijing100094 China Science and Technology On Space Intelligent Control Laboratory Beijing100094 China

ISBN: (纸本)9789819969272

Global Navigation Satellite system (GNSS) is initially designed to provide services to objects on the earth surfaces, or in the earth-orbits with altitude below 3000 km. However, previous researches show that GNSS receivers mounted on GEO satellites can receive GNSS signals and generate positioning and navigation results as well. Considering that in some harsh situations, such as bad observation geometry, weak signal acquisition, etc., the on-board GNSS receivers can only transfer pseudo-range data to GEO satellites, this paper proposed an autonomous navigation method in which the information from GNSS receiver, optical attitude sensors, and inter-satellite links are fused together: at first, the extended state equation and measurement equation of a GEO satellite with optical sensor’s errors are deduced;then, an extended Kalman filter is designed to evaluate and compensate optical sensor’s errors via constructed earth-centered vector bias;later, a sequential correction is carried out using inter-satellite link measurements;finally, the performance of proposed method is analyzed through Monte-Carlo simulation. It shows that the average distance and velocity evaluation errors of proposed method are around 0.2 km and 0.05 m/s individually;the performance can meet the requirements of survivability of a class of high-orbit, long-life and high-value satellites. © 2024, Aerospace Information Research Institute.

关键词： Errors

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Performance Evaluation and Transmitter Optimization for AN-Aided FH Communication Against Time Misalignment

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China Communications 2025年第3期22卷 86-103页

作者： Song Changqing Lin Lang Qin Lizhi Xiao Fei Zhao Hongzhi Shao Shihai National Key Laboratory of Wireless Communications University of Electronic Science and Technology of ChinaChengdu 611731China The Laboratory of Electromagnetic Space Cognition and Intelligent Control Beijing 100089China The Thirtieth Research Institude of China Electronic Science and Technology Group Corporation Chengdu 610093China

To guarantee secure communication against eavesdropping and malicious attack,an artificial noise(AN)-aided frequency-hopping(FH)architecture is adopted in this *** the inevitable time misalignment between the received signal and locally reconstructed AN will deteriorate the AN cancellation performance,yielding significant secrecy degradation at the FH *** view of this,first,the AN cancellation performance under time misalignment is evaluated via signal to AN-plus-noise ratio,and the system secrecy is analyzed via secrecy ***,to mitigate the performance degradation raised by time misalignment,the transmitting power allocation scheme for AN and confidential signal(CS)is optimized,and the optimal hopping period is ***,the obtained conclusions in both the performance evaluation and transmitter optimization sections hold no matter whether the eavesdropper can realize FH synchronization or *** verify that time misalignment will raise non-negligible performance ***,the power ratio of AN to CS should decrease as time misalignment increases,and for perfect time synchronization,the transmitting power of AN and CS should be *** addition,a longer hopping period is preferred for secrecy enhancement when time misalignment gets exacerbated.

关键词： artificial noise(AN)cancellation hopping period design power allocation time misalignment

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Continuous Self-Leaming control under System Identification based on Hopfield Neural Network

Continuous Self-Leaming Control under System Identification ...

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2024 China Automation Congress, CAC 2024

作者： Tan, Tian-Le Zhu, He Hou, Yue-Yang Zhang, Wen-Jing Shanghai Aerospace Control Technology Institute Shanghai Key Laboratory of Space Intelligent Control Technology Shanghai China

ISBN: (纸本)9798350368604

Considering the dynamic modeling of an unknown and time-varying complex dynamic system in the model-based control, this paper develops a data-driven system identification method based on the Hopfield neural network (abbreviated as HNN). The normalization and denormalization transformation are designed to preprocess the training samples, and by the sliding window to refresh the sampling continuously, an online iteration method is proposed to identify the dynamic parameters. Furthermore, a continuous self-learning control based on HNN is developed in coordination with the model-based prediction and inversion control. Simulation results on the manipulator show that the HNN could efficiently identify the dynamic model in real time. The identified model has an approximately isomorphic equivalent form to the dynamic mechanism model, which could be used for the qualitative and quantitative analysis of the control quality. Results also verify the dynamic adaptability of the HNN continuous self-learning control for the nonlinear unknown and time-varying system. © 2024 IEEE.

关键词： Hopfield neural networks

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Dynamic Event-Triggered Consensus control for Input Constrained Multi-Agent Systems With a Designable Minimum Inter-Event Time

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IEEE/CAA Journal of Automatica Sinica 2024年第3期11卷 649-660页

作者： Meilin Li Yue Long Tieshan Li Hongjing Liang C.L.Philip Chen the School of Automation Engineering University of Electronic Science and Technology of ChinaChengdu 611731China IEEE the Yangtze Delta Region Institute University of Electronic Science and Technology of ChinaHuzhou 313000 the Laboratory of Electromagnetic Space Cognition and Intelligent Control Beijing 100089China the School of Computer Science and Engineering South China University of TechnologyGuangzhou 510006

This paper investigates the consensus control of multi-agent systems(MASs) with constrained input using the dynamic event-triggered mechanism(ETM).Consider the MASs with small-scale networks where a centralized dynamic ETM with global information of the MASs is first ***,a distributed dynamic ETM which only uses local information is developed for the MASs with large-scale *** is shown that the semi-global consensus of the MASs can be achieved by the designed bounded control protocol where the Zeno phenomenon is eliminated by a designable minimum inter-event *** addition,it is easier to find a trade-off between the convergence rate and the minimum inter-event time by an adjustable ***,the results are extended to regional consensus of the MASs with the bounded control *** simulations show the effectiveness of the proposed approach.

关键词： Constrained input designable minimum inter-event time directed communication topology dynamic event-triggered mechanism MASs consensus control

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Reinforcement Learning of space Robotic Manipulation with Multiple Safety Constraints 41

Reinforcement Learning of Space Robotic Manipulation with Mu...

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第41届中国控制会议

作者： Linfeng Li Yongchun Xie Yong Wang Ao Chen Beijing Institute of Control Engineering Science and Technology on Space Intelligent Control Laboratory

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

To execute numerous space robotic manipulation tasks(for example on-orbit capture,refueling,assembly,etc.) reliably in presence of high environment uncertainty and multi-source obstacles,it is critical to incorporate safety design into trajectory ***-based planning approaches are commxonly used in the literature,yet suffer insufficient robustness to model *** this paper,we study the sample-based,model-free learning of safe space robotic *** consider numerous practical on-orbit working conditions and propose a novel algorithm called Safe policy optimization with multiple constraints(SPOMC).It incorporates two constraints(namely energy constraint and geometric constraint) into the constrained policy optimization framework,maximizing expected total reward while maintaining a bounded expected total *** simulation on rigid robotic arm manipulation at randomized base positions shows the effectiveness of SPOMC.

关键词： Safety space robotic manipulation Sample-based trajectory optimization Reinforcement learning Constrained Markov decision processes

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Predicting circRNA-Disease Associations by Using Multi-Biomolecular Networks Based on Variational Graph Auto-Encoder with Attention Mechanism

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Chinese Journal of Electronics 2024年第6期33卷 1526-1537页

作者： Jing YANG Xiujuan LEI Yi PAN School of Computer Science Shaanxi Normal University Faculty of Computer Science and Control Engineering Shenzhen Institute of Advanced TechnologyChinese Academy of Sciences Shenzhen Key Laboratory of Intelligent Bioinformatics Shenzhen Institute of Advanced Technology

CircRNA-disease association(CDA) can provide a new direction for the treatment of diseases. However,traditional biological experiment is time-consuming and expensive, this urges us to propose the reliable computational model to predict the associations between circRNAs and diseases. And there is existing more and more evidence indicates that the combination of multi-biomolecular information can improve the prediction accuracy. We propose a novel computational model for CDA prediction named MBCDA, we collect the multi-biomolecular information including circRNA, disease, miRNA and lncRNA based on 6 databases, and construct three heterogeneous network among them, then the multi-heads graph attention networks are applied to these three networks to extract the features of circRNAs and diseases from different views, the obtained features are put into variational graph auto-encoder(VGAE) network to learn the latent distributions of the nodes, a fully connected neural network is adopted to further process the output of VGAE and uses sigmoid function to obtain the predicted probabilities of circRNA-disease *** a result, MBCDA achieved the values of AUC and AUPR under 5-fold cross-validation of 0.893 and 0.887. MBCDA was applied to the analysis of the top-25 predicted associations between circRNAs and diseases, these experimental results show that our proposed MBCDA is a powerful computational model for CDA prediction.

关键词： Knowledge engineering Attention mechanisms Computational modeling Biological system modeling Predictive models Feature extraction Heterogeneous networks Topology Data mining Diseases

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Brockett's Second Example:A FAS Approach Treatment

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Journal of Systems science & Complexity 2023年第5期36卷 1789-1808页

作者： DUAN Guang-Ren Shenzhen Key Laboratory of Control Theory and Intelligent Systems Southern University of Science and TechnologyShenzhen 518055China Center for Control Theory and Guidance Technology Harbin Institute of TechnologyHarbin 150001China

In this paper,several equivalent forms of the well-known Brockett's second example system are firstly *** stabilization of the system is then treated in the fully actuated system approach.A simple continuous time-invariant sub-stabilizing controller is designed,and the corresponding region of attraction is *** a result,all trajectories of the system starting from the characterized region of attraction are driven exponentially to the *** the region of attraction is very large,the designed sub-stabilizing controller can be directly useful in many practical *** cases where the initial values are indeed needed to be chosen out of the region of attraction,extremely simple pre-controllers can be designed,which drive the system trajectories into the designed region of attraction.A simulation of the designed control system is carried out to show the effect of the proposed approach.

关键词： Brockett integrator continuous time-invariant controllers fully actuated system approach region of attraction sub-stabilization

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End-to-end Mars entry,descent,and landing modeling and simulations for Tianwen-1 guidance,navigation,and control system

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Astrodynamics 2022年第1期6卷 53-67页

作者： Chao Xu Xiangyu Huang Minwen Guo Maodeng Li Jinchang Hu Xiaolei Wang Beijing Institute of Control Engineering Beijing 100094China National Key Laboratory of Science and Technology on Space Intelligent Control Beijing 100094China

On May 15,2021,the Tianwen-1 lander successfully touched down on the surface of *** ensure the success of the landing mission,an end-to-end Mars entry,descent,and landing(EDL)simulator is developed to assess the guidance,navigation,and control(GNC)system performance,and determine the critical operation and lander *** high-fidelity models of the Mars atmosphere,parachute,and lander system that are incorporated into the simulator are *** the developed simulator,simulations of the Tianwen-1 lander EDL are *** results indicate that the simulator is valid,and the GNC system of the Tianwen-1 lander exhibits excellent performance.

关键词： Mars entry,descent,and landing(EDL) modeling and simulation Tianwen-1 lander guidance,navigation,and control(GNC)

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