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Receding-Horizon Trajectory Planning for Under-Actuated Autonomous Vehicles Based on Collaborative Neurodynamic Optimization 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 11, 页码: 1909-1923
作者:  Jiasen Wang;  Jun Wang;  Qing-Long Han
Adobe PDF(2672Kb)  |  收藏  |  浏览/下载：208/93  |  提交时间：2022/10/09
Collaborative neurodynamic optimization  receding-horizon planning  trajectory planning  under-actuated vehicles  
Data-Driven Hybrid Neural Fuzzy Network and ARX Modeling Approach to Practical Industrial Process Identification 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 9, 页码: 1702-1705
作者:  Feng Li;  Tian Zheng;  Naibao He;  Qingfeng Cao
Adobe PDF(606Kb)  |  收藏  |  浏览/下载：168/51  |  提交时间：2022/08/19
Multi-Modal Domain Adaptation Variational Autoencoder for EEG-Based Emotion Recognition 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 9, 页码: 1612-1626
作者:  Yixin Wang;  Shuang Qiu;  Dan Li;  Changde Du;  Bao-Liang Lu;  Huiguang He
Adobe PDF(1908Kb)  |  收藏  |  浏览/下载：321/84  |  提交时间：2022/08/19
Cycle-consistency  domain adaptation  electroencephalograph (EEG)  multi modality  variational autoencoder  
Position Encoding Based Convolutional Neural Networks for Machine Remaining Useful Life Prediction 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 8, 页码: 1427-1439
作者:  Ruibing Jin;  Min Wu;  Keyu Wu;  Kaizhou Gao;  Zhenghua Chen;  Xiaoli Li
Adobe PDF(4588Kb)  |  收藏  |  浏览/下载：212/45  |  提交时间：2022/08/01
Convolutional neural network (CNN)  deep learning  position encoding  remaining useful life prediction  
Networked Knowledge and Complex Networks: An Engineering View 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 8, 页码: 1366-1383
作者:  Jinhu Lü;  Guanghui Wen;  Ruqian Lu;  Yong Wang;  Songmao Zhang
Adobe PDF(1876Kb)  |  收藏  |  浏览/下载：177/29  |  提交时间：2022/08/01
Complex network  knowledge graph  networked knowledge  neural network  
Discounted Iterative Adaptive Critic Designs With Novel Stability Analysis for Tracking Control 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 7, 页码: 1262-1272
作者:  Mingming Ha;  Ding Wang;  Derong Liu
Adobe PDF(1832Kb)  |  收藏  |  浏览/下载：254/85  |  提交时间：2022/06/27
Adaptive critic design  adaptive dynamic programming (ADP)  approximate dynamic programming  discrete-time nonlinear systems  reinforcement learning  stability analysis  tracking control  value iteration (VI)  
Adaptive Control With Guaranteed Transient Behavior and Zero Steady-State Error for Systems With Time-Varying Parameters 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 6, 页码: 1073-1082
作者:  Hefu Ye;  Yongduan Song
Adobe PDF(1888Kb)  |  收藏  |  浏览/下载：192/53  |  提交时间：2022/05/30
Adaptive control  global property  guaranteed performance  uncertain nonlinear systems  
Wearable Robots for Human Underwater Movement Ability Enhancement: A Survey 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 6, 页码: 967-977
作者:  Haisheng Xia;  Muhammad Alamgeer Khan;  Zhijun Li;  MengChu Zhou
Adobe PDF(3922Kb)  |  收藏  |  浏览/下载：200/44  |  提交时间：2022/05/30
Cyborg intelligence  diving  exoskeleton  intention perception, modeling and control, swimming  underwater exoskeletons  underwater robots  wearable robots  
Distributed Robust Containment Control of Linear Heterogeneous Multi-Agent Systems: An Output Regulation Approach 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 5, 页码: 864-877
作者:  Wenchao Huang;  Hailin Liu;  Jie Huang
Adobe PDF(4074Kb)  |  收藏  |  浏览/下载：230/46  |  提交时间：2022/04/24
Containment control  internal model principle  multi-agent systems  observer technique  output regulation  
Optimal Synchronization Control of Heterogeneous Asymmetric Input-Constrained Unknown Nonlinear MASs via Reinforcement Learning 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 3, 页码: 520-532
作者:  Lina Xia;  Qing Li;  Ruizhuo Song;  Hamidreza Modares
Adobe PDF(2201Kb)  |  收藏  |  浏览/下载：251/59  |  提交时间：2022/03/09
Asymmetric input-constrained  heterogeneous nonlinear multiagent systems (MASs)  Hamilton-Jacobi-Bellman (HJB) equation  novel observer  reinforcement learning (RL)