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| Dynamic Event-Triggered Control of Continuous-Time Systems With Random Impulses 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 12, 页码: 2292-2299 作者: Meng Yao; Guoliang Wei
Adobe PDF(1200Kb)  |   收藏  |  浏览/下载:97/34  |  提交时间:2023/10/31 Dynamic event-triggered mechanisms input-to-state stability networked impulsive systems random impulses |
| Multi-Objective Optimization for an Industrial Grinding and Classification Process Based on PBM and RSM 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 11, 页码: 2124-2135 作者: Xiaoli Wang; Luming Liu; Lian Duan; Qian Liao
Adobe PDF(5258Kb)  |   收藏  |  浏览/下载:88/35  |  提交时间:2023/09/22 Decision-making technique grinding process multi-objective optimization response surface method (RSM) |
| Evolutionary Multitasking With Global and Local Auxiliary Tasks for Constrained Multi-Objective Optimization 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 10, 页码: 1951-1964 作者: Kangjia Qiao; Jing Liang ; Zhongyao Liu; Kunjie Yu; Caitong Yue; Boyang Qu
Adobe PDF(3148Kb)  |   收藏  |  浏览/下载:89/39  |  提交时间:2023/09/07 Constrained multi-objective optimization evolutionary multitasking (EMT) global auxiliary task knowledge transfer local auxiliary task |
| A Data-Driven Rutting Depth Short-Time Prediction Model With Metaheuristic Optimization for Asphalt Pavements Based on RIOHTrack 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 10, 页码: 1918-1932 作者: Zhuoxuan Li; Iakov Korovin; Xinli Shi; Sergey Gorbachev; Nadezhda Gorbacheva; Wei Huang; Jinde Cao
Adobe PDF(3879Kb)  |   收藏  |  浏览/下载:102/32  |  提交时间:2023/09/07 Extreme learning machine algorithm with residual correction (RELM), metaheuristic optimization oil-gas transportation RIOHTrack rutting depth |
| Competitive Meta-Learning 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 9, 页码: 1902-1904 作者: Boxi Weng; Jian Sun ; Gao Huang; Fang Deng; Gang Wang; Jie Chen
Adobe PDF(608Kb)  |   收藏  |  浏览/下载:134/47  |  提交时间:2023/08/10 |
| Geometry Flow-Based Deep Riemannian Metric Learning 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 9, 页码: 1882-1892 作者: Yangyang Li; Chaoqun Fei; Chuanqing Wang; Hongming Shan; Ruqian Lu
Adobe PDF(1815Kb)  |   收藏  |  浏览/下载:128/43  |  提交时间:2023/08/10 Curvature regularization deep metric learning (DML) embedding learning geometry flow riemannian metric |
| A Length-Adaptive Non-Dominated Sorting Genetic Algorithm for Bi-Objective High-Dimensional Feature Selection 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 9, 页码: 1834-1844 作者: Yanlu Gong; Junhai Zhou; Quanwang Wu; MengChu Zhou; Junhao Wen
Adobe PDF(1308Kb)  |   收藏  |  浏览/下载:98/52  |  提交时间:2023/08/10 Bi-objective optimization feature selection (FS) genetic algorithm high-dimensional data length-adaptive |
| Coevolutionary Framework for Generalized Multimodal Multi-Objective Optimization 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 7, 页码: 1544-1556 作者: Wenhua Li; Xingyi Yao; Kaiwen Li; Rui Wang; Tao Zhang; Ling Wang
Adobe PDF(4321Kb)  |   收藏  |  浏览/下载:101/51  |  提交时间:2023/06/14 Coevolution ${\bm{\epsilon}}$-dominance generalized multimodal multi-objective optimization (MMO) local convergence two archives |
| Augmented Industrial Data-Driven Modeling Under the Curse of Dimensionality 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 6, 页码: 1445-1461 作者: Xiaoyu Jiang; Xiangyin Kong; Zhiqiang Ge
Adobe PDF(25936Kb)  |   收藏  |  浏览/下载:125/41  |  提交时间:2023/05/29 Curse of dimensionality data augmentation data-driven modeling industrial processes machine learning |
| 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:98/29  |  提交时间:2023/05/29 Data assimilation (DA) deep learning machine learning (ML) reduced-order-modelling uncertainty quantification (UQ) |