supported in part by the National Natural Science Foundation of China under Grant Nos.72171172 and 92367101;the Aeronautical Science Foundation of China under Grant No.2023Z066038001;the National Natural Science Foundation of China Basic Science Research Center Program under Grant No.62088101;Shanghai Municipal Science and Technology Major Project under Grant No.2021SHZDZX0100;Chinese Academy of Engineering,Strategic Research and Consulting Program,under Grant No.2023-XZ-65.
Water conservation has become a global problem as the population increases.In many densely populated cities in China,leaks from century-old pipe works have been widespread.However,entirely eradicating the issues invol...
supported by Grant Ref.“Ref 301022”-“Nonlinear optimal and flatness-based control methods for complex dynamical systems”of the Unit of Industrial Automation of the Industrial Systems Institute。
In this article,a nonlinear optimal control approach is proposed for the dynamic model of 3-DOF four-cable driven parallel robots(CDPR).To solve the associated nonlinear optimal control problem,the dynamic model of th...
funded by Guangdong Provincial Natural Science Foundation of China under Grant No.2021A1515011243;Guangdong Provincial Science and Technology Plan Project under Grant No.2019B010139001;Guangzhou Science and Technology Plan Project under Grant No.201902020016.
The integration of Dynamic Graph Neural Networks(DGNNs)with Smart Manufacturing is crucial as it enables real-time,adaptive analysis of complex data,leading to enhanced predictive accuracy and operational efficiency i...
funded by the National Natural Science Foundation of China under Grant No.52075396,52375508;“The 14th Five Year Plan”Hubei Provincial advantaged characteristic disciplines(groups)project of Wuhan University Science and Technology under Grant No.2023B0405;the Logistics Education Reform and Research Project under Grant No.JZW2023252.
The fault diagnosis of cargo UAVs(Unmanned Aerial Vehicles)is crucial to ensure the safety of logistics distribution.In the context of smart logistics,the new trend of utilizing knowledge graph(KG)for fault diagnosis ...
supported by the National Natural Science Foundation of China under Grant No.62088101.
Artificial intelligence empowers the rapid development of autonomous intelligent systems(AISs),but it still struggles to cope with open,complex,dynamic,and uncertain environments,limiting its large-scale industrial ap...
The generation and optimization of simulation data for electrical machines remain challenging,largely due to the complexities of magneto-staticfinite element analysis.Traditional methodologies are not only resource-in...
supported in part by Key Project of Guangdong Joint Fund of National Natural Science Foundation of China under Grant No.U1801263;National Key Research and Development Programme of China under Grant No.2019YFB1705503。
As the core competitiveness of the national industry,large-scale equipment such as ships,high-speed rail and nuclear power equipment,their production process involves in-depth personalization.It includes complex proce...
supported by the National Natural Science Foundation of China under Grant Nos.62222303,62073035,and 62088101.
Distributed stochastic zeroth-order optimization(DSZO),in which the objective function is allocated over multiple agents and the derivative of cost functions is unavailable,arises frequently in large-scale machine lea...
supported by the ERAMUS+Higher Education Learning under Grant No.1953215 of Hasselt University Belgium.Alexandre Lombard is supported by the National Inter-UT Project SMART-E2AU 2018-2022 of the“Universitéde Technologie de Belfort-Montbéliard”,France.Stéphane Galland;Thomas Martinet are supported by the EU project H2020 REDREAM,under Grant No.957837.
The traffic in developing countries presents its own specificity,notably due to the heterogeneous traffic and a weak-lane discipline.This leads to differences in driver behavior between these countries and developed c...
supported in part by the National Natural Science Foundation of China under Grant Nos.62103003,61973002;in part by the Anhui Provincial Natural Science Foundation under Grant No.2008085J32.
In this paper,we present a continuous-time algorithm with a dynamic event-triggered communication(DETC)mechanism for solving a class of distributed convex optimization problems that satisfy a metric subregularity cond...