Observer-based output-feedback stabilization of nonlinear systems with periodically event-triggered sampled-output-data [0.03%]
基于观测器的非线性系统周期事件触发采样数据输出反馈镇定
Xueling Li,Min Wang,Xiangze Lin
Xueling Li
In this paper, observer-based state feedback stabilization problem for a class of strict-feedback nonlinear systems with periodically event-triggered sampled-output-data is investigated. The output of the nonlinear system is sampled periodi...
Disturbance observer-based robust prescribed-time sliding mode tracking control for robotic manipulator systems: Theory and experiment [0.03%]
基于扰动观测器的鲁棒规定时间滑模跟踪控制理论与实验研究：用于机械臂系统
Wenqi Liu,Dan Zhang,Jun Cheng
Wenqi Liu
This paper presents a robust prescribed-time sliding mode control (RPTSMC) method based on prescribed-time disturbance observer (PTDO) for the trajectory tracking problem of robotic manipulators. At first, a novel PTDO is designed for the e...
Adaptive distribution transformation for enhanced bearing fault detection in independent cart systems [0.03%]
独立小车系统中增强轴承故障检测的自适应分布变换方法研究
Abdul Jabbar,Marco Cocconcelli,Gianluca D&#x;Elia
Abdul Jabbar
Unlike conventional rotary systems, where bearings remain fixed around a single axis and experience only rotational motion, bearings in independent cart systems exhibit coupled translational-rotational motion and highly nonstationary dynami...
Deep learning-enhanced prescribed-time cooperative guidance with switching topologies under time-varying velocity [0.03%]
基于切换拓扑和时变速度的深度学习增强型规定时间协同制导方法研究
Heng Li,Zheng Guo,Qing Wang et al.
Heng Li et al.
This paper addresses the prescribed-time cooperative guidance problem for striking a target under time-varying velocity, leveraging deep neural networks to enhance prediction accuracy. Unlike existing results, the proposed guidance law guar...
Fast funnel control based fixed-time consensus tracking for nonlinear multi-agent systems with unknown disturbances [0.03%]
基于快速漏斗控制的非线性多智能体系统的固定时间共识跟踪问题
Yixi Yang,Bin Xin,Qing Wang et al.
Yixi Yang et al.
This paper proposes a fixed-time consensus tracking control strategy for nonlinear multi-agent systems (NMASs) under unknown lumped disturbances, including internal system uncertainties and external disturbances. To address these challenges...
Successive ridge detection framework: A novel method for valve stiction detection [0.03%]
一种阀门摩擦卡涩的新型检测方法：连续岭点检测框架
Xun Lang,Songhua Liu,Jiande Wu et al.
Xun Lang et al.
Oscillations are common in industrial control loops, and valve stiction is one of their primary causes. Existing nonlinear-based stiction detection methods usually rely on signal decomposition to identify fundamental and harmonic components...
Active disturbance rejection control with neural network-based ESO for gas turbine control system by fractional fuzzy-PSO optimization [0.03%]
基于神经网络的气体涡轮机主动扰动拒绝控制系统的ESO分数模糊PSO优化方法研究
Sara Majidi Shilsar,Alireza Khosravi,Hamed Mojallali
Sara Majidi Shilsar
In this study, an enhanced Active Disturbance Rejection Control (ADRC) strategy is developed for gas turbine systems to achieve superior dynamic performance and robustness. The proposed scheme employs a linear ADRC for fuel regulation and a...
Iterative parameter identification with initial value optimization for colored noise Hammerstein systems under non-uniform sampling [0.03%]
非均匀采样有色噪声Hammerstein系统的迭代辨识算法及初值优化方法研究
Hongchen Qin,Yan Ji
Hongchen Qin
Given the presence of significant and possibly discontinuous nonlinearities on the input side, the widespread existence of colored noise in practical environments, and the prevalent use of non-uniform sampling strategies, the parameter iden...
Distributed multi-objective optimization for discrete-time heterogeneous Multi-agent systems: A potential game-based method [0.03%]
基于势博弈的离散时间异构多智能体系统分布式多目标优化方法
Fanyueyang Zhang,Changxi Li,Jun-E Feng et al.
Fanyueyang Zhang et al.
This paper addresses the distributed multi-objective optimization problem for discrete-time heterogeneous multi-agent systems via potential games. Potential game-based methods are widely employed in distributed optimization for multi-agent ...
Learning-based fault-tolerant control for flexible joint robotic manipulators: An actor-critic framework with experimental verification [0.03%]
基于学习的容错控制：具有实验验证的柔轮机器人操作器的Actor-Critic框架
Hejia Gao,Chuanfeng He,Tanyu Chen et al.
Hejia Gao et al.
Flexible-joint robotic manipulators (FJRMs) offer significant advantages over traditional rigid-link counterparts, including improved dexterity, greater motion flexibility, and lower energy consumption. However, their control remains challe...