supported by the National Natural Science Foundation of China(Grant Nos.12388101,12372288,U23A2069,and 92152301).
Machine learning(ML)techniques have emerged as powerful tools for improving the predictive capabilities of Reynolds-averaged Navier-Stokes(RANS)turbulence models in separated flows.This improvement is achieved by leve...
supported by the Intelligent Policing Key Laboratory of Sichuan Province(No.ZNJW2022KFZD002);This work was supported by the Scientific and Technological Research Program of Chongqing Municipal Education Commission(Grant Nos.KJQN202302403,KJQN202303111).
Transfer-based Adversarial Attacks(TAAs)can deceive a victim model even without prior knowledge.This is achieved by leveraging the property of adversarial examples.That is,when generated from a surrogate model,they re...
supported by the National Natural Science Foundation of China(No.41804141)。
Energy resolution calibration is crucial for gamma-ray spectral analysis,as measured using a scintillation detector.A locally constrained regularization method was proposed to determine the resolution calibration para...
supported in part by Key Program of National Natural Science Foundation of China(Grant No.62433011);Guangdong Basic and Applied Basic Research Foundation(Grant No.2021B1515120017)。
This article tackles the boundary event-based bipartite consensus tracking control problem for the flexible manipulator multi-agent network over a signed diagraph.Each follower agent is the flexible manipulator with u...
supported in part by Shanghai Rising-Star Program(Grant No.22QA1409400);National Natural Science Foundation of China(Grant Nos.62073241,62473287);Shanghai Municipal Science and Technology Major Project(Grant No.2021SHZDZX0100);Fundamental Research Funds for the Central Universities(Grant No.08002150223)。
This study introduces a data-driven approach for state and output feedback control addressing the constrained output regulation problem in unknown linear discrete-time systems.Our method ensures effective tracking per...
supported by the STI2030-Major Projects(2021ZD0200201,2022ZD0211500);the National Natural Science Foundation of China(62201519,52307259,62327805,and 82151307).
Understanding the neural substrates of human cognition is a central goal of neuroscience research.Modern imaging techniques,such as functional magnetic resonance imaging(fMRI),provide an opportunity to map cognitive f...
jointly supported by National Natural Science Foundation of China(Grant No.62373071);Natural Science Foundation of Chongqing,China(Grant Nos.CSTB2023NS CQ-LZX0075,cstc2019jcyj-msxmX0102);Research Program of Chongqing Talent,China(Grant No.cstc2021ycjh-bgzxm0044);2023–2024 Higher Education Science Research Project of Chongqing Higher Education Association(Grant No.cqgj23047C)。
In this paper,an event-triggered time-varying formation tracking control for a class of second-order nonlinear multiagent systems(MAS)operating within a constrained region is investigated.To mitigate the negative effe...
Sentiment analysis,a cornerstone of natural language processing,has witnessed remarkable advancements driven by deep learning models which demonstrated impressive accuracy in discerning sentiment from text across vari...
National Natural Science Foundation of China(No.52373281);National Energy-Saving and Low-Carbon Materials Production and Application Demonstration Platform Program,China(No.TC220H06N)。
The research,fabrication and development of piezoelectric nanofibrous materials offer effective solutions to the challenges related to energy consumption and non-renewable resources.However,enhancing their electrical ...
several months had passed since my trip to Xizang.The 21-day trip to Xizang may not seem long,but I had been looking forward to it for many years.I often told myself that my life should be different after I turned 60-...