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作者： Zheng Liu Wei Xiong Space Engineering University Science and Technology on Complex Electronic System Simulation Laboratory

With the surge of emergency task demand,largescale Earth observation satellite emergency scheduling has become a practical problem which is urgent to be *** view of this situation,this paper analyzes the constrains and conflict relationship in this problem,and proposes a DQNbased hyperheuristic *** algorithm includes encoding and decoding,deep Q-network and several low-level heuristic operators.A Markov decision model of this problem is established and 7 low-level heuristic operators are designed according the feature of this *** training,DQN behaves well when selecting operators for the scheduling ***,several groups of comparative experiments verify the algorithm's ability in solving large-scale satellite emergency scheduling problems.

关键词： DQN hyperheuristic EOS emergency scheduling

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Regularity and classification of the free boundary for a Monge-Ampère obstacle problem

arXiv

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arXiv 2025年

作者： Jin, Tianling Tu, Xushan Xiong, Jingang Department of Mathematics The Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong School of Mathematical Sciences Laboratory of Mathematics and Complex Systems MOE Beijing Normal University Beijing100875 China

We study convex solutions to the Monge-Ampère obstacle problem detD2v = gvqχ{v>0}, v ≥ 0, where q ∈ [0,n) is a constant and g is a bounded positive function. This problem emerges from the Lp Minkowski problem. We establish C1,α regularity for the strictly convex part of the free boundary ∂{v = 0}. Furthermore, when g ∈ Cα, we prove a Schauder-type estimate. As a consequence, when g ≡ 1, we obtain a Liouville theorem for entire solutions with unbounded coincidence sets {v = 0}. Combined with existing results, this provides a complete classification of entire solutions for the case q = 0. Copyright © 2025, The Authors. All rights reserved.

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Deep Learning-Based LecturePosture Evaluation

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Wuhan University Journal of Natural sciences 2024年第4期29卷 315-322页

作者： YANG Yifan ZHANG Tao LI Weiyu Key Laboratory of Multidisciplinary Management and Control of Complex Systems of Anhui Higher Education Institutes Anhui University of TechnologyMaanshan 243002AnhuiChina School of Microelectronics and Data Science Anhui University of TechnologyMaanshan 243032AnhuiChina

Computer vision,a scientific discipline enables machines to perceive visual information,aims to supplant human eyes in tasksencompassing object recognition,localization,and *** traditional educational settings,instructors or evaluators evaluate teachingperformance based on subjective ***,with the continuous advancements in computer vision technology,it becomes increasinglycrucial for computers to take on the role of judges in obtaining vital information and making unbiased *** thisbackdrop,this paper proposes a deep learning-based approach for evaluating lecture ***,feature information is extracted fromvarious dimensions,including head position,hand gestures,and body posture,using a human pose estimation ***,a machinelearning-based regression model is employed to predict machine scores by comparing the extracted features with expert-assigned *** correlation between machine scores and human scores is investigated through experiment and analysis,revealing a robustoverall correlation(0.6420)between predicted machine scores and human *** ideal scoring conditions(100 points),approximately51.72%of predicted machine scores exhibited deviations within a range of 10 points,while around 81.87%displayed deviationswithin a range of 20 points;only a minimal percentage of 0.12%demonstrated deviations exceeding the threshold of 50 ***,tofurther optimize performance,additional features related to bodily movements are extracted by introducing facial expression recognitionand gesture recognition *** fusion of multiple models resulted in an overall average correlation improvement of 0.0226.

关键词： deep learning human pose estimation object detection correlation

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Robust Output Synchronization of Discrete-Time Linear-Time-Invariant Multi-Agent systems Using Phase Tool

Robust Output Synchronization of Discrete-Time Linear-Time-I...

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European Control Conference (ECC)

作者： Xin Mao Dan Wang Wei Chen Li Qiu School of System Design and Intelligent Manufacturing Southern University of Science and Technology Shenzhen China Division of Decision and Control Systems KTH Royal Institute of Technology Stockholm Sweden Department of Mechanics and Engineering Science State Key Laboratory for Turbulence and Complex Systems Peking University Beijing China Southern University of Science and Technology Shenzhen China Hong Kong University of Science and Technology Hong Kong S.A.R. China

ISBN: (数字)9783907144107

ISBN: (纸本)9798331540920

In this paper, the output synchronization in large-scale discrete-time networks is examined by utilizing the novel phase tool, where the agent dynamics are allowed to be significantly heterogeneous. The synchronization synthesis problem is formulated and thoroughly investigated, with the goal of characterizing the allowable heterogeneity among the agents to ensure synchronization under a uniform controller. The solvability condition is provided in terms of the phases of the residue matrices of the agents at the persistent modes. When the condition is satisfied, a design procedure is given, producing a low-gain synchronizing controller. Numerical examples are given to illustrate the results.

关键词： Sufficient conditions Europe Heterogeneous networks Synchronization Multi-agent systems

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A Region Preference-based Optimization Algorithm for Satellite Mission Planning Problem

A Region Preference-based Optimization Algorithm for Satelli...

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作者： Minghui Xiong Wei Xiong Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University

For the earth observation satellite mission planning problem, objectives such as observed target quantity, observation profit, energy consumption, image quality should be considered simultaneously, which is a many-objective optimization problem. Classical optimization-based mission planning algorithms obtain a set of non-dominated solutions in the entire search space, while only a single satisfy final plan is desired by decision maker. In this paper, a five-objective optimization model for satellite mission planning problem is constructed, then a region preference-based evolutionary algorithm, HMOEA-T, is applied to obtain the desired solutions. The decision makers describe the preference on each objective in target region form, then the algorithm guides a more detailed search within the preference region rather than the entire Pareto front. Comparative studies with preference-based methods(T-NSGA-III) and classical methods(NSGA-III) are conducted. We have exemplified the proposed method manage to obtain the solutions satisfying the mission planning preference and achieve better performance in convergence and diversity.

关键词： Optimization algorithm Preference articulation Satellite mission planning Many-objective optimization model

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Modeling full information with graph network for joint entity-relation extraction 4

Modeling full information with graph network for joint entit...

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4th International Conference on Algorithms, Computing and Artificial Intelligence, ACAI 2021

作者： Wan, Qian Wei, Luona Chen, Xinhai Liu, Jie Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense Technology Hunan Changsha China College of Systems Engineering National University of Defense Technology Hunan Changsha China Laboratory of Software Engineering for Complex Systems National University of Defense Technology Hunan Changsha China

ISBN: (纸本)9781450385053

Fully capturing contextual information and analyzing the association between entity semantics and type is helpful for joint extraction task: 1) The context can reflect the part of speech and semantics of entity. 2) The entity type is closely related to the relation between entities. Previous research used to simply embed the contextual information into shallow layer of the model, ignoring the association between entity semantics and type. In this paper, we propose a graph network with full-information modeling to explicitly model different-level information in the text. The contextual information of entity is dynamically embedded in each span representation to improve the reasoning ability. To capture the fine-grained association between the semantics and type of entity, the graph network uses the feature of entity types to generate edge information between different nodes. Experimental results show that our model outperforms previous models on the CoNLL04 dataset and obtains competitive results on the SciERC dataset in both entity recognition and relation extraction. Extensive additional experiments further verify the effectiveness of the model. © 2021 ACM.

关键词： Natural language processing systems

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Phase Analysis of N-Port Electrical Networks under Interconnections

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IFAC-PapersOnLine 2023年第2期56卷 4295-4300页

作者： Jianqi Chen Wei Chen Li Qiu Department of Electronic and Computer Engineering The Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong China Department of Mechanics and Engineering Science & State Key Laboratory for Turbulence and Complex Systems Peking University Beijing 100871 China

We study a class of matrix operations induced by n-port electrical network interconnections. We first introduce the frequency-dependent phases of n-port linear time-invariant electrical networks in light of the recently defined phases of complex matrices. Such phase characterization can be used to, for example, qualify the well-known notion of passivity for networks in a way. Next, the intrinsic phase properties of networks under interconnections are investigated. A scalable phase-preserving criterion is presented. The criterion involves only the phase properties of individual sub-networks, under the matrix operations featured by interconnections, whereby the phase range of the newly integrated network can be verified effectively, and more importantly maintains the scalability of analysis.

关键词： N-port network Interconnection Matrix operation Phase preservation

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Review:Fabrication and Application of Zwitterion-based Functional Coatings

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Journal of Harbin Institute of technology(New Series) 2022年第6期29卷 9-26页

作者： Jinyan Tan Shuxue Zhou A.Catarina C.Esteves Limin Wu Department of Materials Science State Key Laboratory of Macromolecular EngineeringAdvanced Coatings Research Center of Ministry of Education of ChinaFudan UniversityShanghai 200433China Laboratory of Physical Chemistry Department of Chemical Engineering and ChemistryEindhoven University of TechnologyEindhoven 5600 MBThe Netherlands Institute for Complex Molecular Systems(ICMS) Eindhoven University of TechnologyEindhoven 5600 MBThe Netherlands

Zwitterion-based materials by virtue of their special physical and chemical characteristics have attracted researchers to utilize them for fabricating functional coatings. The simultaneous presence of positive and negative charges renders the zwitterion-based materials with electrostatically induced hydration properties, which enables a high resistance towards oily pollutants, nonspecific protein adsorption, bacterial adhesion and biofilm formation. This review starts from the working mechanism of zwitterions and covers the fabrication strategies of zwitterion-based functional coatings, namely the zwitterion-bearing binder route, the zwitterion-bearing additive route and the post-generation of coatings containing zwitterionic precursors. The applications of zwitterion-based functional coatings are discussed, including medical implants, marine antifouling and oil-resistant coatings, with focus on the relevant mechanisms of the zwitterion-containing coatings for a specific performance. Finally, some comments and perspectives on the current situation and future development of zwitterion-based functional coatings are given.

关键词： zwitterionic materials functional coatings medical implant coatings marine antifouling coatings oil-resistant coatings amphiphilic coatings degradable coatings

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Optimal synchronization control formulti-agent systems with input saturation:a nonzero-sum game

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Frontiers of Information technology & Electronic Engineering 2022年第7期23卷 1010-1019页

作者： Hongyang LI Qinglai WEI School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049China The State Key Laboratory for Management and Control of Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China Institute of Systems Engineering Macao University of Science and TechnologyMacao 999078China

This paper presents a novel optimal synchronization control method for multi-agent systems with input *** multi-agent game theory is introduced to transform the optimal synchronization control problem into a multi-agent nonzero-sum ***,the Nash equilibrium can be achieved by solving the coupled Hamilton–Jacobi–Bellman(HJB)equations with nonquadratic input energy terms.A novel off-policy reinforcement learning method is presented to obtain the Nash equilibrium solution without the system models,and the critic neural networks(NNs)and actor NNs are introduced to implement the presented *** analysis is provided,which shows that the iterative control laws converge to the Nash *** results show the good performance of the presented method.

关键词： Optimal synchronization control Multi-agent systems Nonzero-sum game Adaptive dynamic programming Input saturation Off-policy reinforcement learning Policy iteration

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Design of a novel flexible assistive hand exoskeleton 37

Design of a novel flexible assistive hand exoskeleton

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37th Youth Academic Annual Conference of Chinese Association of Automation, YAC 2022

作者： Li, Guotao Cheng, Long Gao, Zhengrun Lu, Jilong Zhao, Yanjiang Institute of Automation State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing100190 China Fudan University The National Clinical Research Center for Aging and Medicine Shanghai China Harbin University of Science and Technology Key Laboratory of Advanced Manufacturing and Intelligent Technology Ministry of Education Harbin150080 China Intelligent Machine Institute Harbin University of Science and Technology Harbin150080 China

ISBN: (纸本)9781665465366

Hand paralysis caused by stroke, spinal cord injury, or neurological trauma has a significant impact on the independence and quality of life of the patients. The hand exoskeleton can provide hand assistance and improve the patient's grasp. In this article, a novel wearable flexible hand exoskeleton is proposed to assist users in activities of daily life. To create a simple and lightweight assistive hand exoskeleton, 3D printing is used to manufacture most of the components, and a remote drive system is designed to reduce the weight of the hand exoskeleton. A ball pair device and a slider device are used to ensure the freedom of the thumb and the adaptability of the hand exoskeleton to different hand sizes. Finally, the experiments are conducted to verify that the hand exoskeleton can achieve motion assistance. © 2022 IEEE.

关键词： 3D printing

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