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Path Planning and Tracking Control for Parking via Soft Actor-Critic Under Non-Ideal Scenarios 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 181-195
作者:  Xiaolin Tang;  Yuyou Yang;  Teng Liu;  Xianke Lin;  Kai Yang;  Shen Li
Adobe PDF(4905Kb)  |  收藏  |  浏览/下载:181/118  |  提交时间:2024/01/02
Automatic parking  control strategy  parking deviation (APS)  soft actor-critic (SAC)  
Value Iteration-Based Cooperative Adaptive Optimal Control for Multi-Player Differential Games With Incomplete Information 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 3, 页码: 690-697
作者:  Yun Zhang;  Lulu Zhang;  Yunze Cai
Adobe PDF(6850Kb)  |  收藏  |  浏览/下载:71/28  |  提交时间:2024/02/19
Adaptive dynamic programming  incomplete information  multi-player differential game  value iteration  
Adaptive Optimal Output Regulation of Interconnected Singularly Perturbed Systems With Application to Power Systems 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 3, 页码: 595-607
作者:  Jianguo Zhao;  Chunyu Yang;  Weinan Gao;  Linna Zhou;  Xiaomin Liu
Adobe PDF(2409Kb)  |  收藏  |  浏览/下载:30/12  |  提交时间:2024/02/19
Adaptive optimal control  decentralized control  output regulation  reinforcement learning (RL)  singularly perturbed systems (SPSs)  
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:242/180  |  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)  
Data-Driven Fault Compensation Tracking Control for Coupled Wastewater Treatment Process 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 1, 页码: 294-297
作者:  Peihao Du;  Weimin Zhong;  Xin Peng;  Linlin Li;  Zhi Li
Adobe PDF(1094Kb)  |  收藏  |  浏览/下载:162/60  |  提交时间:2023/01/03
Online Optimization in Power Systems With High Penetration of Renewable Generation: Advances and Prospects 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 4, 页码: 839-858
作者:  Zhaojian Wang;  Wei Wei;  John Zhen Fu Pang;  Feng Liu;  Bo Yang;  Xinping Guan;  Shengwei Mei
Adobe PDF(2336Kb)  |  收藏  |  浏览/下载:154/28  |  提交时间:2023/03/22
Feedback optimization  Lyapunov optimization  online convex optimization  online optimization  optimization-guided control  
Finite-Time Sideslip Differentiator-Based LOS Guidance for Robust Path Following of Snake Robots 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 1, 页码: 239-253
作者:  Yang Xiu;  Dongfang Li;  Miaomiao Zhang;  Hongbin Deng;  Rob Law;  Yun Huang;  Edmond Q. Wu;  Xin Xu
Adobe PDF(15519Kb)  |  收藏  |  浏览/下载:159/28  |  提交时间:2023/01/03
Line-of-sight (LOS)  path following  sideslip  snake robot  
Optimal Control of Nonlinear Systems Using Experience Inference Human-Behavior Learning 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 1, 页码: 90-102
作者:  Adolfo Perrusquía;  Weisi Guo
Adobe PDF(3694Kb)  |  收藏  |  浏览/下载:162/45  |  提交时间:2023/01/03
Experience inference  hippocampus learning system  linear time-variant (LTV) systems  neocortex/striatum learning systems  nonlinear systems  optimal control  
Position Errors and Interference Prediction-Based Trajectory Tracking for Snake Robots 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 9, 页码: 1810-1821
作者:  Dongfang Li;  Yilong Zhang;  Ping Li;  Rob Law;  Zhengrong Xiang;  Xin Xu;  Limin Zhu;  Edmond Q. Wu
Adobe PDF(19961Kb)  |  收藏  |  浏览/下载:111/28  |  提交时间:2023/08/10
Anti-sideslip  compensation  snake robot  trajectory tracking  
Magnetic Field-Based Reward Shaping for Goal-Conditioned Reinforcement Learning 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 12, 页码: 2233-2247
作者:  Hongyu Ding;  Yuanze Tang;  Qing Wu;  Bo Wang;  Chunlin Chen;  Zhi Wang
Adobe PDF(5205Kb)  |  收藏  |  浏览/下载:91/32  |  提交时间:2023/10/31
Dynamic environments  goal-conditioned reinforcement learning  magnetic field  reward shaping