院系详细页面

[外文期刊] A long lifetime and highly sensitive wearable microneedle sensor for the continuous real-time monitoring of glucose in interstitial fluid

作者： Yin,Sijie¹;Yu,Zhiqiang²;Song,NingNing³;Guo,Zhanjun³;Li,Wei³;Ma,Jinhang¹;Wang,Xiaoyan³;Liu,Junyao⁴;Liang,Minmin³; （¹School of Automation, Beijing Institute of Technology, No. 5, South Street, Zhongguancun, Haidian District, Beijing, 100081, China;²Yangtze Delta Region Academy of Beijing Institute of Technology, Jiaxing, 314000, China;³Experimental Center of Advanced Materials, School of Materials Science & Engineering, Beijing Institute of Technology, No. 5, South Street, Zhongguancun, Haidian District, Beijing, 100081, China;⁴Fan Gongxiu Honors College, Beijing University of Technology, 100 Pingleyuan, Chaoyang District, Beijing, 100124, China）

出处： Biosensors and Bioelectronics 2024 Vol.244

摘要： The short lifetime and low sensitivity of the current glucose electrochemical sensors are two major issues for implementing continuous real-time monit ...

[中文期刊] Control of 2-D Semi-Markov Jump Systems：A View from Mode Generation Mechanism

作者： Yunzhe Men^1,2;，Jian Sun^1,2;，Jie Chen^3,4; （¹the National Key Laboratory of Autonomous Intelligent Unmanned Systems,the School of Automation,Beijing Institute of Technology；²the Beijing Institute of Technology Chongqing Innovation Center；³the Department of Control Science and Engineering,Tongji University；⁴the National Key Laboratory of Autonomous Intelligent Unmanned Systems,Beijing Institute of Technology）

出处： IEEE/CAA Journal of Automatica Sinica 2024 第11卷第1期 P258-260

摘要： Dear Editor,Two-dimensional（2-D） systems have wide applications in image data processing,gas absorption and fluid dynamics analysis \'(1)\'-[3].When t ...

[外文期刊] Control of 2-D Semi-Markov Jump Systems: A View from Mode Generation Mechanism EI

作者： Yunzhe Men^1,2;Jian Sun^1,2;Jie Chen^3,4; （¹National Key Laboratory of Autonomous Intelligent Unmanned Systems, The School of Automation, Beijing Institute of Technology, Beijing, China ²Beijing Institute of Technology Chongqing Innovation Center, Chongqing, China ³Department of Control Science and Engineering, Tongji University, Shanghai, China ⁴National Key Laboratory of Autonomous Intelligent Unmanned Systems, Beijing Institute of Technology, Beijing, China）

出处： IEEE/CAA Journal of Automatica Sinica 2024 Vol.11 No.1 P258-260

摘要： Dear Editor, Two-dimensional (2-D) systems have wide applications in image data processing, gas absorption and fluid dynamics analysis \'(1)\'–[3]. Wh ...

[外文期刊] Tracking-Oriented Formation Control for Unmanned Aerial Vehicle Swarm Through Output Feedback Under Jointly-Connected Topologies EI

作者： Bin Xin^1,2;Yuhang Kang³;Wei Liu⁴; （¹National Key Lab of Autonomous Intelligent Unmanned Systems, Beijing, China ²School of Automation, Beijing Institute of Technology, Beijing, China ³CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China ⁴School of Aviation Foundation, Naval Aviation University, Yantai, China）

出处： IEEE Transactions on Vehicular Technology 2024 Vol.73 No.1 P438-449

关键词： Topology;Autonomous aerial vehicles;Switches;Control systems;State feedback;Formation control;Consensus control

摘要： The cooperation between a manned aerial vehicle (MAV) and an unmanned aerial vehicle swarm (UAVS) to perform tasks will be a new focus of UAVS applica ...

[外文期刊] H∞ control of singularly perturbed systems using deficient hidden semi-Markov model SCIE

作者： Men, Yunzhe^{1, 2}; Sun, Jian^{1, 2} （¹National Key Lab of Autonomous Intelligent Unmanned Systems, School of Automation, Beijing Institute of Technology, Beijing; 100081, China;²Beijing Institute of Technology Chongqing Innovation Center, Chongqing; 401120, China）

出处： Nonlinear Analysis: Hybrid Systems 2024

[外文期刊] Distributed Dynamic Event-Triggered Consensus Protocol for General Linear Multiagent Systems Without Accurate System Information SCIE EI

作者： Du,Changkun¹;Liu,Haikuo²;Li,Zhen³;Yu,Samson Shenglong⁴;Liu,Xiangdong³; （¹Beijing Institute of Technology, Beijing, China;²School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China;³School of Automation, Beijing Institute of Technology, Beijing, China;⁴School of Engineering, Deakin University, Waurn Ponds, VIC, Australia）

出处： IEEE Transactions on Cybernetics 2024 P1-13

摘要： This study focuses on distributed event-triggered consensus control under the scenario where only inaccurate agent model information is available. By ...

[外文期刊] Classification-Based Diverse Workflows Scheduling in Clouds

作者： Liwen Yang¹;Yuanqing Xia¹;Xiaopu Zhang¹;Lingjuan Ye²;Yufeng Zhan¹; （¹School of Automation, Beijing Institute of Technology, Beijing, China ²School of Mathematics and Statistics, Beijing Institute of Technology, Beijing, China）

出处： IEEE Transactions on Automation Science and Engineering 2024 Vol.21 No.1 P630-641

关键词： Task analysis;Costs;Distribution strategy;Cloud computing;Scheduling algorithms;Dynamic scheduling;Schedules;Neural Network;Optimization Problem;Resource Management;Economic Costs;Neural Network Classifier;Transmission Time;Virtual Machines;Graph Neural Networks;Scheduling Scheme;Scheduling Algorithm;Execution Cost;Scheduling Framework;Nonlinear Function;Resource Constraints;Epigenome;Types Of Tasks;First Category;Time Task;Task Scheduling;Makespan;Task Execution Time;Message Passing;Scheduling Results;Descending Order;Heuristic Algorithm;Graph Topology;Task Prioritization;Rental Prices

摘要： Cloud workflow scheduling is a typical combinatorial optimization problem and becomes more challenging due to the increasing diversity of workflows. H ...

[外文期刊] Adaptive-Robust Fusion Strategy for Autonomous Navigation in GNSS-Challenged Environments

作者： Kai Shen¹;Yuelun Li¹;Tingxin Liu¹;Jianwen Zuo¹;Ziao Yang¹; （¹Engineering Research Center of Navigation, Guidance and Control Technology, Ministry of Education, and the School of Automation, Beijing Institute of Technology, Beijing, China）

出处： IEEE Internet of Things Journal 2024 Vol.11 No.4 P6817-6832

关键词： Global navigation satellite system;Navigation;Kalman filters;Reliability;Mathematical models;Velocity measurement;Prediction algorithms;Fusion Strategy;Autonomous Navigation;Navigation In Environments;GNSS-challenged Environments;Estimation Error;Kalman Filter;Test Area;Global Navigation Satellite System;Error Covariance;Reliable Solution;North Direction;Kalman Gain;East Direction;Navigation Data;High-precision Positioning;Road Test;Mean Absolute Error;Unmanned Aerial Vehicles;Position Error;Deep Structure;Navigation Information;Error Criterion;Mean Absolute Percentage Error;Urban Canyon;Velocity Error;Process Noise;Autonomous Surface Vehicles;Navigation System;Adaptive Adjustment;Unmanned Ground Vehicles

摘要： High-precision positioning and navigation is highly important for unmanned vehicles in global navigation satellite system (GNSS)-challenged environmen ...

[外文期刊] Flexible Job Shop Scheduling via Dual Attention Network-Based Reinforcement Learning

作者： Runqing Wang^1,2;Gang Wang^1,2;Jian Sun^1,2;Fang Deng^1,2;Jie Chen^3,4; （¹National Key Laboratory of Autonomous Intelligent Unmanned Systems, School of Automation, Beijing Institute of Technology, Beijing, China ²Beijing Institute of Technology Chongqing Innovation Center, Chongqing, China ³Department of Control Science and Engineering, Tongji University, Shanghai, China ⁴National Key Laboratory of Autonomous Intelligent Unmanned Systems, Beijing Institute of Technology, Beijing, China）

出处： IEEE Transactions on Neural Networks and Learning Systems 2024 Vol.35 No.3 P3091-3102

关键词： Production;Feature extraction;Decision making;Job shop scheduling;Manufacturing;Task analysis;Reinforcement learning;Job Shop Scheduling;Dual Attention;Flexible Job Shop Scheduling;Deep Learning;Exact Method;Deep Reinforcement Learning;Multiple Machine;Attention Block;Public Benchmark;Machining Features;Flexible Manufacturing;Deep Reinforcement Learning Method;Job Shop Scheduling Problem;Processing Time;Computational Efficiency;Completion Time;Attention Mechanism;Multilayer Perceptron;State Representation;Problem Size;Graph Attention Network;Set Of Operations;Graph Neural Networks;Greedy Strategy;Shortest Processing Time;Markov Decision Process;Disjunction;Precedence Constraints;Actor-critic;Set Of Machines

摘要： Flexible manufacturing has given rise to complex scheduling problems such as the flexible job shop scheduling problem (FJSP). In FJSP, operations can ...

[外文期刊] Distributed State Estimation Under Jointly Connected Switching Networks: Continuous-Time Linear Systems and Discrete-Time Linear Systems

作者： Lan Zhang^1,2;Maobin Lu^1,2;Fang Deng^1,2;Jie Chen^3,4; （¹School of Automation, Beijing Institute of Technology, Beijing, China ²Beijing Institute of Technology, Chongqing Innovation Center, Chongqing, China ³Beijing Institute of Technology, Beijing, China ⁴Tongji University, Shanghai, China）

出处： IEEE Transactions on Automatic Control 2024 Vol.69 No.2 P1104-1111

关键词： Observers;Switches;Linear systems;Communication networks;Observability;Estimation error;Discrete-time systems;Linear System;Switching Network;Continuous-time Linear Systems;Joint Connection;Distributed State Estimation;Connected Switching Networks;Communication Network;Approximate Distribution;Estimation Problem;Asymptotically Stable;Distribution Problem;Continuous-time Systems;Linear Time-invariant Systems;Linear Time-invariant;Diagonal Matrix;Stability Analysis;Undirected;Local Measurements;Results Of System;Square Matrix;Weighted Adjacency Matrix;Positive Semidefinite;Local Observations;Constant Signal;Finite Interval

摘要： In this article, we address the distributed state estimation problem for both continuous-time linear time-invariant (LTI) systems and discrete-time LT ...