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面向工业过程的图像生成及其应用研究综述 期刊论文
自动化学报, 2024, 卷号: 50, 期号: 2, 页码: 211-240
作者:  汤健;  郭海涛;  夏恒;  王鼎;  乔俊飞
Adobe PDF(6988Kb)  |  收藏  |  浏览/下载：15/4  |  提交时间：2024/04/12
工业过程  视觉感知  图像生成  生成图像评估与应用  城市固废焚烧  
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：86/28  |  提交时间：2023/05/29
Data assimilation (DA)  deep learning  machine learning (ML)  reduced-order-modelling  uncertainty quantification (UQ)  
Soft Robotics: Morphology and Morphology-inspired Motion Strategy 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 9, 页码: 1500-1522
作者:  Fan Xu;  Hesheng Wang
Adobe PDF(41738Kb)  |  收藏  |  浏览/下载：163/18  |  提交时间：2021/09/03
Soft continuum manipulator  soft gripper  soft mobile robot  soft robot control method  soft robot modeling method  soft robotics  
A Survey of Evolutionary Algorithms for Multi-Objective Optimization Problems With Irregular Pareto Fronts 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 2, 页码: 303-318
作者:  Yicun Hua;  Qiqi Liu;  Kuangrong Hao;  Yaochu Jin
Adobe PDF(6590Kb)  |  收藏  |  浏览/下载：125/43  |  提交时间：2021/04/09
Evolutionary algorithm  machine learning  multi-objective optimization problems (MOPs)  irregular Pareto fronts  
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：216/57  |  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  
An Advanced Prediction Mechanism to Analyse Pore Geometry Shapes and Identification of Blocking Effect in VRLA Battery System 期刊论文
International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 1, 页码: 21-32
作者:  Alessandro Mariani;  Kary Thanapalan1 Peter Stevenson;  Jonathan Williams
浏览  |  Adobe PDF(18338Kb)  |  收藏  |  浏览/下载：86/38  |  提交时间：2021/02/23
Positive active material  crystal structure  valve regulated lead acid (VRLA) batteries  modelling, estimation and recovery techniques.