Design and real-time evaluation of a novel observer-based predefined-time controller for the industrial processes [0.03%]
一种新型观测量的工业过程预定义时间控制器的设计与实时评估
Ali Soltani Sharif Abadi,Pouya Heidarpoor Dehkordi,Reza Hajiyan et al.
Ali Soltani Sharif Abadi et al.
A suitable controller for the Continuous Stirred Tank Reactor (CSTR) plays a crucial role in the reactor's performance. This paper presents a novel observer-based sliding mode controller designed to control the CSTR with high accuracy and a...
Adaptive output feedback fault-tolerant control for a class of nonlinear systems based on a sensor fusion mechanism [0.03%]
基于传感器融合机制的一类非线性系统自适应容错控制
Chen Sun,Yan Lin,Qingrui Meng et al.
Chen Sun et al.
This paper investigates an output feedback adaptive fault-tolerant tracking control for a class of nonlinear systems with system nonlinearities, sensor failures and external disturbances, in which sensor redundancy is employed to enhance me...
Tracking control for two-wheeled mobile robots via event-triggered mechanism [0.03%]
基于事件触发机制的两轮自平衡机器人轨迹跟踪控制
Chao Wang,Peng Shi,Imre Rudas
Chao Wang
In this paper, we investigate the event-based tracking control for two-wheeled mobile robots using a sliding mode control strategy. To address the conflict between the singularity problem and finite-time performance, a new nonsingular termi...
Hybrid model using bond graph-TCN network and event triggered predictive control of pH neutralization process [0.03%]
基于Bond Graph-TCN网络和事件触发预测控制的酸碱中和过程混合模型
Joanofarc Xavier,M A Henry Barath,Sanjib Kumar Patnaik et al.
Joanofarc Xavier et al.
The pH neutralization process is a concrete decisive unit in major reactor units of industrial process control loops. This article presents a new fuzzy-based hybrid 'Bond Graph-Temporal Convolution Network' (BG-TCN) model, structured for th...
Dynamic event-triggered tracking control for high-order nonlinear systems with time-varying irregular full-state constraints and input saturation [0.03%]
具有时变不规则全状态约束和输入饱和的高阶非线性系统的动态事件触发跟踪控制
Yan Jiang,Zhong Guo
Yan Jiang
This paper investigates the unified tracking control problem for a class of high-order nonlinear systems with 7 kinds of irregular state constraints and input saturation based on the dynamic event-triggered mechanism. The irregular state co...
Event-triggered fault-tolerant tracking control for multiagent systems under actuator/sensor faults [0.03%]
基于作动器/传感器故障的事件触发多智能体容错跟踪控制方法研究
Zhengyu Ye,Ziquan Yu,Bin Jiang et al.
Zhengyu Ye et al.
Sensor faults can contaminate system measurements such that reliable estimation cannot be achieved and further cause abnormalities in multiagent systems (MASs). Addressing this problem, this study develops an event-triggered fault-tolerant ...
Analysis of proportional-resonant damping factors in the parallel operation of UPSs [0.03%]
并机UPS比例共振型下垂因子分析
Guilherme Keiel,Jeferson Vieira Flores,Luís Fernando Alves Pereira
Guilherme Keiel
Accurate load-sharing and circulating current mitigation is a particular problem in parallel-connected inverters without intercommunication. This paper analyzes how using multiple-resonant controllers in the voltage regulation loop impacts ...
Hybrid impulsive control for global stabilization of subfully actuated systems [0.03%]
具有部分驱动的子全驱动系统的混合脉冲控制全局镇定方法研究
Qinbo Huang,Jitao Sun,Min Zhao
Qinbo Huang
This paper presents the first study of the global stabilization of subfully actuated systems (sub-FAS) by hybrid impulsive control method. Since sub-FAS contain singular sets, controllers designed by the conventional high-order fully actuat...
Learning-based optimal boundary control for parabolic distributed parameter system with actuator dynamics [0.03%]
基于学习的抛物型分布参数系统带执行器动力学最优边界控制
Jingyi Sun,Biao Luo,Xiaodong Xu et al.
Jingyi Sun et al.
Considering actuator dynamics, we investigate a coupled system of parabolic partial differential equations (PDEs) and ordinary differential equations (ODEs), developing a data-driven boundary optimal controller based on iterative learning. ...
A layer-wise melting defects mitigation method in laser powder bed fusion process based on machine learning and fuzzy inference [0.03%]
一种基于机器学习和模糊推理的激光粉末床熔融工艺分层缺陷抑制方法
Chenguang Ma,Yingjie Zhang
Chenguang Ma
Melting defects in Laser Powder Bed Fusion (LPBF) processes, such as lack of fusion (LOF) or over-melting (OM), can cause significant deterioration in mechanical properties and surface roughness of printed parts, potentially leading to proc...