Ultrasonic wind vector measurement based on quadratic correlation two-frequency phase method [0.03%]
基于二次相关双频相位法的超声风向风速测量技术
Zebiao Shan,Mingxuan Han,Xiaosong Liu et al.
Zebiao Shan et al.
A proposed method for measuring ultrasonic wind speed and direction utilizes the quadratic correlation phase method to address limited range issues and low measurement accuracy associated with the phase difference method when the signal-to-...
Reinforcement learning-based optimal tracking control for uncertain multi-agent systems with uncertain topological networks [0.03%]
基于强化学习的不确定拓扑网络多智能体系统最优跟踪控制问题研究
Renyang You,Quan Liu
Renyang You
Recent decades, extensive applications exemplified in intelligent connected vehicles (ICVs) and unmanned aerial vehicles (UAVs) have emerged with the rapidly development of multi-agent systems (MASs). Inspired by these applications, the opt...
The fast bearing diagnosis based on adaptive GSR of fault feature amplification in scale-transformed fractional oscillator [0.03%]
基于尺度变换分数阶振子的故障特征增强自适应GSR的快速轴承诊断方法研究
Kehan Chen,Ruoqi Zhang,Lin Meng et al.
Kehan Chen et al.
From the noise-assisted perspective of stochastic resonance (SR), fractional system has been adopted to enhance the diagnostic performance of mechanical faults by utilizing the previous state information in mechanical degradation process, b...
Memory-based consensus control for multi-agent systems with time-varying topology and communication constraints [0.03%]
具有时变拓扑和通信约束的多智能体系统的基于记忆的一致性控制
Tengfei Liang,Zehui Xiao,Yunfa Wu et al.
Tengfei Liang et al.
This paper focuses on the design of event-triggered observer-based heterogeneous memory controllers for leader-following multi-agent systems with time-varying topology. In order to save limited on-board resources, a novel adaptive event-tri...
Data-driven spatio-temporal estimation of soil moisture and temperature based on Lipschitz interpolation [0.03%]
基于Lipschitz插值的数据驱动土壤水分和温度时空估计方法
J M Manzano,L Orihuela,E Pacheco et al.
J M Manzano et al.
This study estimates agricultural soil variables using a non-parametric machine learning technique based on Lipschitz interpolation. This method is adapted for the first time to learn spatio-temporal dynamics, accounting for two-dimensional...
H∞ fault-tolerant fuzzy intermittent control for nonlinear hyperbolic PDE systems with multiple delays and actuator failures [0.03%]
具有多时延和执行器故障的非线性双曲PDE系统的H∞容错模糊间歇控制
Xu Zhang,Xuan Gao,Zi-Peng Wang et al.
Xu Zhang et al.
This study presents an H∞ fault-tolerant fuzzy intermittent control approach for the nonlinear hyperbolic partial differential equation (PDE) systems with multiple delays and actuator failures (MDAFs). Firstly, the nonlinear hyperbolic PDE...
Null space-based behavioral control applied to a formation of two quadrotors transporting a cable suspended load [0.03%]
基于零空间的双四旋翼编队运输吊索悬挂负载行为控制方法研究
Mauro Sérgio Mafra Moreira,Daniel Khéde Dourado Villa,Mário Sarcinelli-Filho
Mauro Sérgio Mafra Moreira
A controller based on the paradigm of virtual structure, considering two quadrotors transporting a cable-suspended load, is proposed, aiming at controlling the load movement through controlling the triangle quadrotor-quadrotor-load. The nul...
Control of Stewart platform using adaptive smooth integral sliding mode algorithm [0.03%]
基于自适应平滑积分滑模算法的Stewart平台控制研究
Safeena M K,Ramesh Kumar P,Jiji K S
Safeena M K
The Stewart platform, renowned for its remarkable dexterity, high stiffness, and positioning accuracy, is increasingly employed in a wide range of applications. For the Stewart platform, a novel adaptive super-twisting based smooth integral...
Fully distributed time-varying formation tracking control for linear multi-agent systems with unknown external disturbances [0.03%]
具有未知外部扰动的线性多智能体系统的完全分布式时变编队跟踪控制方法
Liya Dou,Kang Wang,Jing Wang et al.
Liya Dou et al.
This work investigates the time-varying formation tracking (TVFT) problem for linear multi-agent systems with a leader of unknown input in the presence of unknown external disturbances on directed graphs. Each agent is subjected to differen...
Rohit Kumar
Rohit Kumar
The paper presents the design of a neural-adaptive controller for an isolated power converter. Accurate estimation of the unknown parameters is taken into account in both theoretical and practical domains when considering intelligent contro...