Experimentally validated three-parameter dual-loop hybrid fractional-order-TID-PD controller for stable and integrating processes with time delay [0.03%]
一种实验验证的三参数双回路混合分数阶TID-PD控制器用于具有时间延迟的稳定和积分过程
Dipjyoti Das,Sudipta Chakraborty
Dipjyoti Das
In this study, a robust dual-loop hybrid Fractional Order Tilt Integral Derivative (FOTID)-Proportional Derivative (PD) controller is developed to track both step and ramp signals. Here, the inner loop is an integer-order PD controller that...
Multi-attention collaborative temporal-spatial hypergraph attention network for machinery fault diagnosis [0.03%]
用于机械故障诊断的多注意协作时空超图注意力网络
Dongdong Liu,Xianju Cheng,Zhichao Jiang et al.
Dongdong Liu et al.
Graph models have emerged as an important research direction in the field of machinery fault diagnosis. However, most of these methods are unable to capture non-pairwise, high-order interactions among multiple samples, and they generally ac...
Fault-tolerant control based on multi-reduced-order intermediate observers for multi-agent systems with a leader of unknown input [0.03%]
基于多降阶中间观测器的未知输入领导者的多智能体系统的容错控制
Xiuhua Liu,Sheng Wang,Jian Han
Xiuhua Liu
This paper investigates the fault estimation and fault-tolerant consensus tracking control of multi-agent systems (MASs) with leader of unknown input. Multi-reduced-order intermediate observers are constructed to estimate the state and unkn...
Fault diagnosis of the air handling unit via combining a cross-attention fused spatio-temporal parallel transformer with an enhanced ensemble adaptive classification strategy [0.03%]
基于交叉注意力融合时空并行变压器的空调机组故障诊断方法及自适应分类策略增强集成优化
Zhibo Zhang,Hanyuan Zhang,Xiaogang Deng
Zhibo Zhang
The effective fault diagnosis of the air handling unit (AHU) is critical for maintaining indoor environmental quality and reducing building energy consumption. However, existing fault diagnosis methods often fail to fully capture spatio-tem...
Special issue on soft sensors for advanced process modelling, monitoring, control, and optimisation [0.03%]
软传感器在先进过程建模、监测、控制与优化的特刊问题
Yuri A W Shardt,Xu Yang,Fan Yang et al.
Yuri A W Shardt et al.
Containment control for stochastic multiagent systems with multiple dynamic leaders and compound noises [0.03%]
具有多个动态领导者的多智能体系统中含有多重复合噪声的控制容纳问题研究
Yingxue Du,Jinxin Shang,Zhi Liu et al.
Yingxue Du et al.
In recent years, compound noise, including additive noise and multiplicative noise, has inevitably affected stochastic multi-agent systems (SMASs). These noises introduce unpredictable oscillations that severely degrade system stability. Th...
Distributed antidisturbance formation control for UAVs under disturbance based on terminal sliding mode control [0.03%]
基于终端滑模控制的干扰环境下无人机分布式抗扰编队控制
Qi Wang,Chen Siwen,Yi Yang
Qi Wang
This study presents a novel unmanned aerial vehicle (UAV) formation control method based on terminal sliding mode control (TSMC), to address the consistency and anti-disturbance challenges in formation tracking under disturbed environments....
Robust fixed-time sliding-mode control for a class of nonlinear systems with an electro-hydraulic active suspension case study [0.03%]
一类非线性系统的鲁棒固定时间滑模控制及液压主动悬架应用研究
Rachid Fattah,Khalid Benjelloun,Jean-Pierre Kenné et al.
Rachid Fattah et al.
This paper presents a robust fixed-time sliding-mode control strategy for an electro-hydraulic active suspension (EHAS) system with nonlinear actuator dynamics and external road disturbances. Due to the hydraulic subsystem, the considered q...
Robust formation control of heterogeneous UAV-USV multi-agent systems: An actor-critic enhanced hyperbolic sliding mode approach with dynamic event-triggering [0.03%]
基于动态事件触发的双曲滑模强化演员-批评家异构无人机和无人船多智能体系统鲁棒编队控制方法研究
Zhengyu Zhang,Yuguang Zhong,Dening Song
Zhengyu Zhang
This paper investigates the robust formation control problem for heterogeneous Unmanned Aerial Vehicle (UAV) and Unmanned Surface Vehicle (USV) multi-agent systems in mission-critical maritime scenarios (e.g., search and rescue) subject to ...
Robust data-driven feedback linearization using neural network based sparse identification of nonlinear dynamics [0.03%]
基于神经网络的非线性动力学稀疏识别的数据驱动鲁棒反馈linearization
Shahin Razani,Mahsan Tavakoli-Kakhki,Ahmad Kalhor
Shahin Razani
Achieving robust data-driven and high-precision control for nonlinear systems is a critical challenge, particularly in the presence of model uncertainties,unmodeled dynamics and disturbances. In this work, a data-driven control framework is...