作者： ZHAO Zhixin^1,2;，CHEN Jie^1,2;，XIN Bin^3,4;，LI Li^1,2;，JIAO Keming^1,2;，ZHENG Yifan^1,2; （¹School of Electronics and Information Engineering,Tongji University；²Shanghai Institute of Intelligent Science and Technology,Tongji University；³School of Automation,Beijing Institute of Technology；⁴National Key Laboratory of Autonomous Intelligent Unmanned Systems）

出处： Journal of Systems Science ＆ Complexity 2024 第37卷 第1期 P369-388

摘要： The multi-UAV adversary swarm defense（MUASD） problem is to defend a static base against an adversary UAV swarm by a defensive UAV swarm. Decomposing t ...

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： Meng, Huan;Zhang, Jinhui;Li, Sihang （¹School of Automation, Beijing Institute of Technology, Beijing, China）

出处： International Journal of Robust and Nonlinear Control 2024 Vol.34 No.2 P1358-1369

关键词： discrete-time system;event-triggered strategy;predictive sliding mode control;recursive feasibility

摘要： This paper presents a new approach for designing an event-triggered predictive sliding mode control (SMC) for discrete-time systems subject to constra ...

作者： Huan Meng¹;Jinhui Zhang¹;Sihang Li¹;Zhongqi Sun¹; （¹School of Automation, Beijing Institute of Technology, Beijing, China）

出处： IEEE Transactions on Circuits and Systems II: Express Briefs 2024 Vol.71 No.2 P737-741

关键词： Optimal control;Convergence;Additives;Adaptive systems;Trajectory;Sliding mode control;Frequency measurement

摘要： This brief proposes a novel adaptive receding horizon-based self-triggered constrained sliding mode control (SMC) approach for controlling constrained ...

作者： Jiaxin Zhao¹;Pingli Lu¹;Changkun Du¹;Fangfei Cao¹; （¹School of Automation, Beijing Institute of Technology, Beijing, China）

出处： IEEE Transactions on Aerospace and Electronic Systems 2024 Vol.60 No.1 P1047-1059

关键词： Actuators;Fault diagnosis;Fault tolerant systems;Fault tolerance;Hypersonic vehicles;Sliding mode control;Transfer learning;Active Strategies;Fault Diagnosis;Fault-tolerant Control;Flight Vehicle;Learning-based Fault Diagnosis;Attention Mechanism;Transfer Learning;Performance In The Presence;Presence Of Damage;Long Short-term Memory Network;Sliding Mode Control;Sliding Mode;Transfer Learning Technique;Terminal Sliding Mode Control;Hypersonic Vehicle;Training Data;Deep Learning;Active Control;Convolutional Layers;Nonlinear Model;Source Domain;Target Domain;Actuator Faults;Flight Data;Source Domain Data;Unmanned Aerial Vehicles;Fault Diagnosis Model;Singularity Problem;Deflection Angle;Electromagnetic Interference

摘要： In this article, we focus on the issue of active fault-tolerant strategy in the context of hypersonic vehicles. The proposed approach involves address ...

作者： Tianyu Wang¹;Zhongjing Ma¹;Suli Zou¹; （¹School of Automation, Beijing Institute of Technology, Beijing, China）

出处： IEEE Transactions on Energy Conversion 2024 Vol.39 No.1 P757-771

关键词： Predictive models;Feature extraction;Data mining;Degradation;Lithium-ion batteries;Data models;Convolutional neural networks;Neural Network;Dual Network;Prediction Of Lithium-ion Batteries;Convolutional Layers;Mean Absolute Error;Global Features;Task Characteristics;Degradation Capacity;Local Fluctuations;Global Correlation;Inductive Bias;Average Mean Absolute Error;Remaining Useful Life;Cycling;Model Performance;Training Set;Convolutional Neural Network;Local Information;Prediction Error;Information Extraction;Prior Preferences;Long Short-term Memory;Attention Heads;End Of Life;Degradation Trend;Early Prediction;Global Information;Recurrent Neural Network;Relevance Vector Machine;Embedding Dimension

摘要： Accurate remaining useful life (RUL) prediction of lithium-ion (Li-ion) batteries contributes to the safe and reliable operation of batteries and redu ...

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： Huaihang Zheng¹;Junzheng Wang¹;Dawei Shi¹;Dongchen Liu¹;Shoukun Wang¹; （¹School of Automation, Beijing Institute of Technology, Beijing, China）

出处： IEEE Transactions on Automation Science and Engineering 2024 Vol.21 No.1 P416-427

关键词： Control systems;Optimal control;Fuels;Target tracking;Switches;Vehicle dynamics;Space vehicles;Control Strategy;Optimal Control;Dynamic Tracking;Dynamic Target;System Performance;Operating Conditions;Local Control;Analytical Solutions;Control Region;Response Speed;Target State;Robot Control;Multiple Integration;Tracking Problem;Trajectory Planning;Buffer Area;Optimal Control Theory;Model System;System State;Visual System;Control Input;Minimum Principle;Object C;Lithium Batteries;Control Period;Coulomb Friction;Servo Motor;Path Planning;Lyapunov Function;Switching Instants

摘要： Time and fuel balance is an important topic in the dynamic tracking problem of unmanned systems. In this paper, we propose a quasi time-fuel optimal c ...

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 ...