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Reinforcement Learning in Process Industries: Review and Perspective 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 283-300
作者:  Oguzhan Dogru;  Junyao Xie;  Om Prakash;  Ranjith Chiplunkar;  Jansen Soesanto;  Hongtian Chen;  Kirubakaran Velswamy;  Fadi Ibrahim;  Biao Huang
Adobe PDF(1275Kb)  |  收藏  |  浏览/下载：44/15  |  提交时间：2024/01/23
Process control  process systems engineering  reinforcement learning  
End-to-End Paired Ambisonic-Binaural Audio Rendering 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 502-513
作者:  Yin Zhu;  Qiuqiang Kong;  Junjie Shi;  Shilei Liu;  Xuzhou Ye;  Ju-Chiang Wang;  Hongming Shan;  Junping Zhang
Adobe PDF(9612Kb)  |  收藏  |  浏览/下载：60/20  |  提交时间：2024/01/23
Ambisonic  attention  binaural rendering  neural network  
Recent Progress in Reinforcement Learning and Adaptive Dynamic Programming for Advanced Control Applications 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 18-36
作者:  Ding Wang;  Ning Gao;  Derong Liu;  Jinna Li;  Frank L. Lewis
Adobe PDF(1945Kb)  |  收藏  |  浏览/下载：261/184  |  提交时间：2024/01/02
Adaptive dynamic programming (ADP)  advanced control  complex environment  data-driven control  event-triggered design  intelligent control  neural networks  nonlinear systems  optimal control  reinforcement learning (RL)  
Adaptive Optimal Discrete-Time Output-Feedback Using an Internal Model Principle and Adaptive Dynamic Programming 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 131-140
作者:  Zhongyang Wang;  Youqing Wang;  Zdzisław Kowalczuk
Adobe PDF(1538Kb)  |  收藏  |  浏览/下载：154/76  |  提交时间：2024/01/02
Adaptive dynamic programming (ADP)  internal model principle (IMP)  output feedback problem  policy iteration (PI)  value iteration (VI)  
Security and Privacy in Solar Insecticidal Lamps Internet of Things: Requirements and Challenges 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 58-73
作者:  Qingsong Zhao;  Lei Shu;  Kailiang Li;  Mohamed Amine Ferrag;  Ximeng Liu;  Yanbin Li
Adobe PDF(3374Kb)  |  收藏  |  浏览/下载：236/170  |  提交时间：2024/01/02
Challenges  Internet of Things (IoT)  privacy and security  security requirements  solar insecticidal lamps (SIL)  
A Tutorial on Federated Learning from Theory to Practice: Foundations, Software Frameworks, Exemplary Use Cases, and Selected Trends 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 824-850
作者:  M. Victoria Luzón;  Nuria Rodríguez-Barroso;  Alberto Argente-Garrido;  Daniel Jiménez-López;  Jose M. Moyano;  Javier Del Ser;  Weiping Ding;  Francisco Herrera
Adobe PDF(4602Kb)  |  收藏  |  浏览/下载：32/10  |  提交时间：2024/03/18
Data privacy  distributed machine learning  federated learning  software frameworks  
Communication-Aware Mobile Relaying via an AUV for Minimal Wait Time: A Broad Learning-Based Solution 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 3, 页码: 797-799
作者:  Wenqiang Cao;  Jing Yan;  Xian Yang;  Cailian Chen;  Xinping Guan
Adobe PDF(5590Kb)  |  收藏  |  浏览/下载：74/18  |  提交时间：2024/02/19
Adaptive Event-triggered Time-varying Output Group Formation Containment Control of Heterogeneous Multiagent Systems 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1398-1409
作者:  Lihong Feng;  Bonan Huang;  Jiayue Sun;  Qiuye Sun;  Xiangpeng Xie
Adobe PDF(3455Kb)  |  收藏  |  浏览/下载：6/3  |  提交时间：2024/05/22
Adaptive control  event-triggered mechanisms  formation containment (FC)  heterogeneous multiagent systems  time-varying group formation  
Advancements in Humanoid Robots: A Comprehensive Review and Future Prospects 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 301-328
作者:  Yuchuang Tong;  Haotian Liu;  Zhengtao Zhang
Adobe PDF(7587Kb)  |  收藏  |  浏览/下载：99/21  |  提交时间：2024/01/23
Future trends and challenges  humanoid robots  human-robot interaction  key technologies  potential applications  
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：91/29  |  提交时间：2023/05/29
Data assimilation (DA)  deep learning  machine learning (ML)  reduced-order-modelling  uncertainty quantification (UQ)