夏元清
作者： Shen,Shuang1;Zhang,Chenrui1;Chai,Runqi1;Dai,Li1;Chai,Senchun1;Xia,Yuanqing1; （1School of Automation, Beijing Institute of Technology, Beijing, 100081, China）
出处： Automatica 2024 Vol.164
摘要： This article investigates the application of a nonlinear model predictive control (MPC) framework for cyber–physical system (CPS) that is transmitted ...
作者： Dongyu Han1;Kun Liu1;Yeming Lin1;Yuanqing Xia1; （1School of Automation, Beijing Institute of Technology, Beijing, China）
出处： IEEE Transactions on Automatic Control 2024 P1-8
关键词： Cost function;Vectors;Upper bound;Radio frequency;Convex functions;Sparse matrices;Robots
摘要： This paper considers a distributed stochastic non-convex optimization problem, where the nodes in a network cooperatively minimize a sum of $L$ -smoot ...
作者： Chen Yang1;Wanze Lu1;Yuanqing Xia1; （1School of Automation, Beijing Institute of Technology, Beijing, China）
出处： IEEE Transactions on Reliability 2024 Vol.73 No.1 P608-621
关键词： Reliability;Robots;Uncertainty;Kinematics;Industrial robots;Service robots;Reliability theory
摘要： A novel method for positioning accuracy analysis based on non-probabilistic time-dependent reliability is proposed for industrial robots with multisou ...
作者： Han Gao1;Jiale Wang1;Xuelin Liu1;Yuanqing Xia1; （1School of Automation, Beijing Institute of Technology, Beijing, China）
出处： IEEE Transactions on Fuzzy Systems 2024 P1-11
关键词： Fuzzy logic;Observers;Vectors;Uncertainty;Convergence;Consensus control;Nonlinear dynamical systems
摘要： This paper aims to address the issue of fixed-time consensus control for uncertain nonlinear multiagent systems (MASs), in which only a group of follo ...
作者： Gaochang Zhang1;Senchun Chai1;Runqi Chai1;Marcos Garcia1;Yuanqing Xia1; （1School of Automation, Beijing Institute of Technology, Beijing, China）
出处： IEEE Transactions on Intelligent Vehicles 2024 Vol.9 No.1 P1909-1918
关键词： Autonomous vehicles;Programming;Optimization;Trajectory planning;Trajectory optimization;Wheels;Planning;Autonomous Vehicles;Goal Programming;Fuzzy Goal;Fuzzy Goal Programming;Simulation Results;Optimization Problem;Path Length;Multi-objective Optimization;Trajectory Optimization;Fuzzy Algorithm;Single-objective Optimization;Compromise Solution;Weighted Sum Method;Passenger Comfort;Objective Function;Expected Value;Additive Model;Less Than Or Equal;Greater Than Or Equal;Completion Time;Single-objective Optimization Problem;Trajectory Planning;Tolerable Upper Limit;Objective Function Value;Fuzzy Set Theory;Physical Experiments;Multi-objective Programming;Tolerance Factor;Multiple Objects;Multi-objective Optimization Problem
摘要： With the development of autonomous vehicle technology, planning an efficient trajectory for automatic parking while considering multiple factors such ...
作者： Sheng Yu1;Di-Hua Zhai1,2;Yuanqing Xia1; （1School of Automation, Beijing Institute of Technology, Beijing, China 2Yangtze Delta Region Academy of Beijing Institute of Technology, Jiaxing, China）
出处： IEEE/ASME Transactions on Mechatronics 2024 Vol.29 No.1 P625-635
关键词： Pose estimation;Point cloud compression;Robots;Solid modeling;Deformation;Feature extraction;Task analysis;Pose Estimation;Self-supervised Learning;Human Pose Estimation;Object Pose;Robotic Grasping;Category-level Object;Category-level Object Pose;Large Datasets;Point Cloud;RGB Images;Target Object;Series Of Methods;Objects In The Scene;Unknown Objects;Pose Estimation Methods;Object Point Cloud;Local Features;Network Performance;Global Features;Bounding Box;Pose Tracking;Point Cloud Features;Feature Fusion;Latent Vector;Self-supervised Training;RGB-D Images;Depth Images;Final Pose;Object Size;Synthetic Images
摘要： 6-D object pose estimation is widely used in the robotic grasp, and a series of object pose estimation methods have been proposed. Among them, categor ...
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 ...
作者： Min Lin1;Zhongqi Sun1,2;Yuanqing Xia1;Jinhui Zhang1; （1School of Automation, Beijing Institute of Technology, Beijing, China 2Yangtze Delta Region Academy of Beijing Institute of Technology, Jiaxing, China）
出处： IEEE Transactions on Neural Networks and Learning Systems 2024 Vol.35 No.3 P3312-3324
关键词： Costs;Predictive control;Discrete-time systems;Stability criteria;Convergence;Task analysis;Sun;Predictive Control;Model Predictive Control;Value Function;Linear System;Computational Burden;Prediction Horizon;Model Predictive Control Strategy;Terminal Cost;Terminal Constraint;Training Data;Optimal Control;State Space;Stability Analysis;Nonlinear Systems;Control Input;Control Performance;Weight Vector;Optimal Policy;Termination Condition;Running Costs;Temporal Difference Learning;Optimal Value Function;Reinforcement Learning Agent;Input Constraints;Theoretical Guarantees;Iterative Sampling;Value Function Approximation;Update Law;Nonholonomic;Policy Evaluation
摘要： This article proposes a novel reinforcement learning-based model predictive control (RLMPC) scheme for discrete-time systems. The scheme integrates mo ...
作者： Yongkang Wang1;Di-Hua Zhai1,2;Yuanqing Xia1;Danyang Liu1; （1School of Automation, Beijing Institute of Technology, Beijing, China 2Yangtze Delta Region Academy Beijing Institute of Technology, Jiaxing, China）
出处： IEEE Transactions on Industrial Informatics 2024 Vol.20 No.3 P4930-4939
关键词： Training;Data models;Clustering algorithms;Internet of Things;Informatics;Electronic learning;Behavioral sciences;Internet Of Things;Internet Of Things Applications;Backdoor Attacks;Data Distribution;Individual Learning;Heterogeneous Data;Robust Algorithm;Model Of Personality;Virtual Learning;Federated Learning;Attack Scenarios;Federated Learning Framework;Learning Rate;Local Data;Global Model;Teacher Model;Ablation Experiments;Clean Samples;Chameleon;Self-supervised Learning;Attack Success Rate;Virtual Data;Clean Dataset;Global Task;Clear Model;CIFAR-100 Dataset;Impact Of Attacks;Trigger Type;StyleGAN;Diverse Clients
摘要： Robustness and attacks have become prominent concerns in federated learning (FL)-based Internet of Things (IoT). Our focus primarily lies on robustnes ...
作者： Juncheng Lin1;Di-Hua Zhai1,2;Yuhan Xiong1;Yuanqing Xia1; （1School of Automation, Beijing Institute of Technology, Beijing, China 2Yangtze Delta Region Academy of Beijing Institute of Technology, Jiaxing, China）
出处： IEEE Transactions on Industrial Electronics 2024 Vol.71 No.6 P6150-6160
关键词： Robots;Safety;Kinematics;Collision avoidance;Optimization;Torque control;Service robots
摘要： In robotics field, safety is an extensively researched subject. This article proposes an approach, which is based on high-order control barrier functi ...
