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Mapping Network-coordinated Stacked Gated Recurrent Units for Turbulence Prediction 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1331-1341
作者:  Zhiming Zhang;  Shangce Gao;  MengChu Zhou;  Mengtao Yan;  Shuyang Cao
Adobe PDF(7172Kb)  |  收藏  |  浏览/下载：66/28  |  提交时间：2024/05/22
Convolutional neural network  deep learning  recurrent neural network  turbulence prediction  wind load prediction  
城市固废焚烧过程智能优化控制研究现状与展望 期刊论文
自动化学报, 2023, 卷号: 49, 期号: 10, 页码: 2019-2059
作者:  汤健;  夏恒;  余文;  乔俊飞
Adobe PDF(3863Kb)  |  收藏  |  浏览/下载：36/15  |  提交时间：2024/04/24
城市固废焚烧  双碳战略  智能优化控制  工业人工智能  数字孪生平台  
Deep Learning-based Moving Object Segmentation: Recent Progress and Research Prospects 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 3, 页码: 335-369
作者:  Rui Jiang;  Ruixiang Zhu;  Hu Su;  Yinlin Li;  Yuan Xie;  Wei Zou
Adobe PDF(9061Kb)  |  收藏  |  浏览/下载：54/9  |  提交时间：2024/04/23
Moving object segmentation (MOS), change detection, background subtraction, deep learning (DL), video understanding  
Evolutionary Computation for Expensive Optimization: A Survey 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 1, 页码: 3-23
作者:  Jian-Yu Li;  Zhi-Hui Zhan;  Jun Zhang
Adobe PDF(951Kb)  |  收藏  |  浏览/下载：42/5  |  提交时间：2024/04/23
Expensive optimization problem  evolutionary computation  evolutionary algorithm  swarm intelligence  particle swarm optimization  differential evolution  
A Dual Closed-Loop Digital Twin Construction Method for Optimizing the Copper Disc Casting Process 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 3, 页码: 581-594
作者:  Zhaohui Jiang;  Chuan Xu;  Jinshi Liu;  Weichao Luo;  Zhiwen Chen;  Weihua Gui
Adobe PDF(16387Kb)  |  收藏  |  浏览/下载：79/17  |  提交时间：2024/02/19
Copper disc casting machine  digital twin (DT)  mechanism modeling  self-optimization  
Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 6, 页码: 1361-1387
作者:  Sibo Cheng;  César Quilodrán-Casas;  Said Ouala;  Alban Farchi;  Che Liu;  Pierre Tandeo;  Ronan Fablet;  Didier Lucor;  Bertrand Iooss;  Julien Brajard;  Dunhui Xiao;  Tijana Janjic;  Weiping Ding;  Yike Guo;  Alberto Carrassi;  Marc Bocquet;  Rossella Arcucci
Adobe PDF(17725Kb)  |  收藏  |  浏览/下载：128/34  |  提交时间：2023/05/29
Data assimilation (DA)  deep learning  machine learning (ML)  reduced-order-modelling  uncertainty quantification (UQ)  
Model Identification and Control of Electromagnetic Actuation in Continuous Casting Process With Improved Quality 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 1, 页码: 203-215
作者:  Isabela Birs;  Cristina Muresan;  Dana Copot;  Clara Ionescu
Adobe PDF(37720Kb)  |  收藏  |  浏览/下载：210/50  |  提交时间：2023/01/03
Electromagnetic actuator  fractional order control  fractional order system model  non-Newtonian material  
A Bio-Inspired Flapping-Wing Robot With Cambered Wings and Its Application in Autonomous Airdrop 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 12, 页码: 2138-2150
作者:  Haifeng Huang;  Wei He;  Qiang Fu;  Xiuyu He;  Changyin Sun
Adobe PDF(37055Kb)  |  收藏  |  浏览/下载：171/45  |  提交时间：2022/12/02
Autonomous airdrop  bionic design  bio-inspired robot  cambered wing  flapping wing  
Dynamic System Identification of Underwater Vehicles Using Multi-output Gaussian Processes 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 5, 页码: 681-693
作者:  Wilmer Ariza Ramirez;  Juš Kocijan;  Zhi Quan Leong;  Hung Duc Nguyen;  Shantha Gamini Jayasinghe
Adobe PDF(3231Kb)  |  收藏  |  浏览/下载：254/58  |  提交时间：2021/09/13
Dependent Gaussian processes  dynamic system identification  multi-output Gaussian processes  non-parametric identification  autonomous underwater vehicle (AUV)  
Deep Learning in Sheet Metal Bending With a Novel Theory-Guided Deep Neural Network 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 3, 页码: 565-581
作者:  Shiming Liu;  Yifan Xia;  Zhusheng Shi;  Hui Yu;  Zhiqiang Li;  Jianguo Lin
Adobe PDF(6784Kb)  |  收藏  |  浏览/下载：254/64  |  提交时间：2021/04/09
Data-driven deep learning  deep learning  deep neural network (DNN)  intelligent manufacturing  machine learning  sheet metal forming  springback  theory-guided deep learning  theory-guided regularization