检索结果-内蒙古大学图书馆

IEEE Transactions on Artificial Intelligence 2024年第1期5卷 61-69页

作者： Wang, Xuesong Hou, Diyuan Huang, Longyang Cheng, Yuhu China University of Mining and Technology Engineering Research Center of Intelligent Control for Underground Space Ministry of Education and School of Information and Control Engineering Xuzhou221116 China

Offline-online reinforcement learning (RL) can effectively address the problem of missing data (commonly known as transition) in offline RL. However, due to the effect of distribution shift, the performance of policy may degrade when an agent moves from offline to online training phases. In this article, we first analyze the problems of distribution shift and policy performance degradation in offline-online RL. Then, in order to alleviate these problems, we propose a novel RL algorithm offline-online actor-critic (O2AC) algorithm. In O2AC, a behavior clone constraint term is introduced into the policy objective function to address the distribution shift in offline training phase. In addition, in online training phase, the influence of the behavior clone constraint term is gradually reduced, which alleviates the policy performance degradation. Experiments show that O2AC outperforms existing offline-online RL algorithms. © 2020 IEEE.

关键词： Reinforcement learning

来源：评论

学校读者我要写书评

暂无评论

Joint Task Offloading and Resource Allocation Strategy for Space-Air-Ground Integrated Vehicular Networks

引用

清华大学学报自然科学版（英文版） 2025年第3期30卷 1027-1043页

作者： Yuanshuo Gang Yuexia Zhang Zhihai Zhuo School of Information and Communication Engineering Beijing Information Science and Technology UniversityBeijing 100101China Key Laboratory of Modern Measurement and Control Technology Ministry of EducationBeijing Information Science and Technology UniversityBeijing 100101China

Space-Air-Ground integrated Vehicular Network(SAGVN)aims to achieve ubiquitous connectivity and provide abundant computational resources to enhance the performance and efficiency of the vehicular ***,there are still challenges to overcome,including the scheduling of multilayered computational resources and the scarcity of spectrum *** address these problems,we propose a joint Task Offloading(TO)and Resource Allocation(RA)strategy in SAGVN(namely JTRSS).This strategy establishes an SAGVN model that incorporates air and space networks to expand the options for vehicular TO,and enhances the edge-computing resources of the system by deploying edge *** minimize the system average cost,we use the JTRSS algorithm to decompose the original problem into a number of subproblems.A maximum rate matching algorithm is used to address the channel allocation and the Lagrangian multiplier method is employed for computational *** acquire the optimal TO decision,a differential fusion cuckoo search algorithm is *** simulation results demonstrate the significant superiority of the JTRSS algorithm in optimizing the system average cost.

关键词： edge computing Resource Allocation(RA) Space-Air-Ground integrated Vehicular Network(SAGVN) Task Offloading(TO)

来源：评论

学校读者我要写书评

暂无评论

Combining first principles and machine learning for rapid assessment response of WO_(3) based gas sensors

引用

International Journal of Mining Science and technology 2024年第12期34卷 1765-1772页

作者： Ran Zhang Guo Chen Shasha Gao Lu Chen Yongchao Cheng Xiuquan Gu Yue Wang School of Medical Information and Engineering Xuzhou Medical UniversityXuzhou 221000China School of Materials Science and Physics China University of Mining and TechnologyXuzhou 221116China School of Information and Control Engineering China University of Mining and TechnologyXuzhou 221116China

The rapid advancement of gas sensitive properties in metal oxides is crucial for detecting hazardous gases in industrial and coal mining ***,the conventional experimental trial and error approach poses significant challenges and resource consumption for the high throughput screening of gas sensitive ***,this paper introduced a novel screening approach that integrates first principles with machine learning(ML)to rapidly predict the gas sensitivity of ***,a comprehensive database of multi-physical parameters was established by modeling various adsorption sites on the surface of WO3,which serves as a representative *** density functional theory(DFT)is one of the first principles,DFT calculations were conducted to derive essential multi-physical parameters,including bandgap,density of states(DOS),Fermi level,adsorption energy,and structural modifications resulting from *** collected data was subsequently utilized to develop a cor-relation model linking the multi-physical parameters to gas sensitive performance using intelligent *** model’s performance was assessed through receiver operating characteristic(ROC)curves,confusion matrices,and other evaluation metrics,ultimately achieving a prediction accuracy of 90%for identifying key features influencing gas adsorption *** proposed strategy for predicting the gas sensitive characteristics of materials holds significant potential for application in identifying addi-tional gas sensitive properties across various materials.

关键词： Machine learning Density functional theory Rapid assessment Gas sensor

来源：评论

学校读者我要写书评

暂无评论

Two-Way Neural Network Performance PredictionModel Based onKnowledge Evolution and Individual Similarity

引用

Computer Modeling in engineering & Sciences 2024年第2期138卷 1183-1206页

作者： Xinzheng Wang Bing Guo Yan Shen College of Computer Science Sichuan UniversityChengdu610065China School of Information Science and Engineering Guilin University of TechnologyGuilin541004China School of Control Engineering Chengdu University of Information TechnologyChengdu610225China

Predicting students’academic achievements is an essential issue in education,which can benefit many stakeholders,for instance,students,teachers,managers,*** with online courses such asMOOCs,students’academicrelateddata in the face-to-face physical teaching environment is usually sparsity,and the sample size is *** makes building models to predict students’performance accurately in such an environment even *** paper proposes a Two-WayNeuralNetwork(TWNN)model based on the bidirectional recurrentneural network and graph neural network to predict students’next semester’s course performance using only theirprevious course *** experiments on a real dataset show that our model performs better thanthe baselines in many indicators.

关键词： Computer education performance prediction deep learning

来源：评论

学校读者我要写书评

暂无评论

Deep Feature Unsupervised Domain Adaptation for Time-Series Classification

IEEE Transactions on Artificial Intelligence

引用

IEEE Transactions on Artificial Intelligence 2025年第3期6卷 725-737页

作者： Lu, Nannan Yan, Tong Zhu, Song Qian, Jiansheng Han, Min China University of Mining and Technology School of Information and Control Engineering Xuzhou221116 China China University of Mining and Technology School of Mathematics Xuzhou221116 China Dalian University of Technology School of Control Science and Engineering Dalian116023 China

Unsupervised domain adaptation (UDA) for time series classification (TSC) is an important but challenging task. In the process of UDA, feature learning is most critical. Most of the existing works in this area are based on learning domain-invariant feature representation of data with help of some restriction such as MMD. However, they ignored that the mutual effects between the pretrained network and the downstream target network was also conducive to the learning of domain-invariant features. In this article, we propose a deep feature unsupervised domain adaptation (DFUDA) for time series classification. First, we pretrain a network based on consistency learning to ensure the invariant feature extraction from the source and target domains. Then, we propose an end-to-end unsupervised domain adaptation, which includes the layer matching and the unsupervised domain adaptation to promote more confident knowledge transfer. Finally, the pretrained network receives feedback of the domain adaptation's performance. To verify the effectiveness of the proposed method, we perform the comprehensive experiments on fault diagnosis datasets and human activity recognition datasets. The results show that DFUDA outperforms the state of the arts methods for both scenarios. © 2024 IEEE.

关键词： Contrastive Learning

来源：评论

学校读者我要写书评

暂无评论

3D semantic map construction based on point cloud and image fusion

引用

IET Cyber-Systems and Robotics 2023年第1期5卷 132-142页

作者： Huijun Li Hailong Zhao Bin Ye Yu Zhang School of Information and Control Engineering China University of Mining and TechnologyXuzhouChina

Accurate and robust positioning and mapping are the core functions of autonomous mobile robots,and the ability to analyse and understand scenes is also an important criterion for the intelligence of autonomous mobile *** the outdoor environment,most robots rely on GPS *** the signal is weak,the positioning error will interfere with the mapping results,making the semantic map construction less *** research mainly designs a semantic map construction system that does not rely on GPS signals for large outdoor *** mainly designs a feature extraction scheme based on the sampling characteristics of Livox-AVIA solid-state *** factor graph optimisation model of frame pose and inertial measurement unit(IMU)pre-integrated pose,using a sliding window to fuse solid-state LiDAR and IMU data,fuse laser inertial odometry and camera target detection results,refer to the closest point distance and curvature for semantic *** point cloud is used for semantic segmentation to realise the construction of a 3D semantic map in outdoor *** experiment verifies that laser inertial navigation odometry based on factor map optimisation has better positioning accuracy and lower overall cumulative error at turning,and the 3D semantic map obtained on this basis performs well.

关键词： artificial intelligence deep learning environment perception sensor fusion

来源：评论

学校读者我要写书评

暂无评论

Adaptive control of a Flexible Manipulator With Unknown Hysteresis and Intermittent Actuator Faults

引用

IEEE/CAA Journal of Automatica Sinica 2025年第1期12卷 148-158页

作者： Shouyan Chen Weitian He Zhijia Zhao Yun Feng Zhijie Liu Keum-Shik Hong School of Mechanical and Electrical Engineering Guangzhou University the School of Control Science and Engineering Shandong University IEEE the College of Electrical and Information Engineering Hunan University the National Engineering Research Center for Robot Visual Perception and Control Technology Hunan University the School of Intelligence Science and Technology University of Science and Technology Beijing (USTB) the Institute for Future the School of AutomationQingdao University the School of Mechanical Engineering Pusan National University

In this study, we consider a single-link flexible manipulator in the presence of an unknown Bouc-Wen type of hysteresis and intermittent actuator faults. First, an inverse hysteresis dynamics model is introduced, and then the control input is divided into an expected input and an error compensator. Second,a novel adaptive neural network-based control scheme is proposed to cancel the unknown input hysteresis. Subsequently,by modifying the adaptive laws and local control laws, a fault-tolerant control strategy is applied to address uncertain intermittent actuator faults in a flexible manipulator system. Through the direct Lyapunov theory, the proposed scheme allows the state errors to asymptotically converge to a specified interval. Finally,the effectiveness of the proposed scheme is verified through numerical simulations and experiments.

关键词： Adaptive control flexible manipulator intermittent actuator faults inverse hysteresis dynamics vibration control

来源：评论

学校读者我要写书评

暂无评论

Neural Network for Distributed Collaboration of Multiple Manipulators With Switching Topologies: A Game-Theoretic Perspective

引用

IEEE Transactions on Systems, Man, and Cybernetics: Systems 2025年第5期55卷 3213-3221页

作者： Liu, Mei Mu, Wenxin Lv, Xin Sun, Zhongbo Jin, Long Lanzhou University School of Information Science and Engineering Lanzhou730000 China Changchun University of Technology Department of Control Engineering Changchun130000 China

Since distributed control strategies can effectively reduce the operating load of the central processor, they have become a prominent research direction in the field of controlling multiple manipulators. However, existing distributed approaches predominantly rely on fixed topologies, overlooking the dynamic nature of task requirements. To address this limitation, this article proposes a distributed collaboration scheme that incorporates switching topologies. The distributed control problem is further formulated as a game-theoretic framework involving multiple manipulators. A dynamic neural network solver is then developed to approximate the optimal Nash equilibrium strategy, with its convergence and stability proven through theoretical analysis. The effectiveness of the proposed scheme and solver is validated through a series of physical experiments. © 2013 IEEE.

关键词： Redundant manipulators

来源：评论

学校读者我要写书评

暂无评论

Highly constrained cooperative guidance for flexible landing on asteroids

引用

Chinese Journal of Aeronautics 2025年第4期38卷 349-360页

作者： Chang LYU Zixuan LIANG Shengying ZHU School of Aerospace Engineering Beijing Institute of TechnologyBeijing 100081China Key Laboratory of Autonomous Navigation and Control for Deep Space Exploration(Beijing Institute of Technology) Ministry of Industry and Information TechnologyBeijing 100081China

Flexible lander,composed of multiple nodes connected by flexible material,can reducethe bouncing and overturning during the asteroid *** satisfy the complex constraints inthe node cooperation of the flexible landing,an intelligent cooperative guidance method is *** method consists of a double-layer cooperative guidance structure,a guidance parameterdetermination approach,and an action priority *** double-layer contains a basic guid-ance used to satisfy the terminal state constraints,and a compensatory guidance used to satisfythe lander's attitude *** the compensatory guidance,the parameters are determinedby multi-agent system,which are trained according to the performance index of flexible landing *** action priority strategy is used to reduce the detrimental effect of parameter inconsis-tency on the node *** simulation of flexible landing shows that the cooperativeguidance method is effective in improving the landing accuracy while satisfying the ***,the method is robust to the disturbance in the navigation and control.

关键词： Asteroid Flexible lander Multi-constraint Cooperative guidance Reinforcement learning

来源：评论

学校读者我要写书评

暂无评论

Non-uniform electron density estimation based on electromagnetic wave attenuation in plasma

引用

Chinese Physics B 2025年第1期34卷 381-386页

作者： Zhaoying Wang Lixin Guo Maixia Fu Shaoshuai Guo Yinsheng Li Key Laboratory of Grain Information Processing and Control(Henan University of Technology) Ministry of EducationZhengzhou 450001China College of Information Science and Engineering Henan University of TechnologyZhengzhou 450001China School of Physics Xidian UniversityXi’an 710071China

The surface of a high-speed vehicle reentering the atmosphere is surrounded by plasma *** to the influence of the inhomogeneous flow field around the vehicle,understanding the electromagnetic properties of the plasma sheath can be *** the electron density of the plasma sheath is crucial for understanding and achieving plasma stealth of *** this work,the relationship between electromagnetic wave attenuation and electron density is deduced *** attenuation distribution along the propagation path is found to be proportional to the integral of the plasma electron *** result is used to predict the electron density ***,the average electron density is obtained using a back-propagation neural network ***,the spatial distribution of the electron density can be determined from the average electron density and the normalized derivative of attenuation with respect to the propagation *** to traditional probe measurement methods,the proposed approach not only improves efficiency but also preserves the integrity of the plasma environment.

关键词： attenuation electromagnetic propagation plasma electron density

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：