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CASIA OpenIR

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Deterministic Learning-Based Neural PID Control for Nonlinear Robotic Systems 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1227-1238
作者:  Qinchen Yang;  Fukai Zhang;  Cong Wang
Adobe PDF(4415Kb)  |  收藏  |  浏览/下载：8/3  |  提交时间：2024/04/10
Adaptive neural control (ANC)  deterministic learning (DL)  neural network (NN)  robot manipulators  
A Hybrid Controller for Musculoskeletal Robots Targeting Lifting Tasks in Industrial Metaverse 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2024, 页码: 12
作者:  Qin, Shijie;  Li, Houcheng;  Cheng, Long
收藏  |  浏览/下载：23/0  |  提交时间：2024/03/27
Adaptive dynamic programming (ADP)  brain-inspired method  muscle synergy  musculoskeletal system  reinforcement learning (RL)  tracking control  
Dynamic adaptive multi-objective optimization algorithm based on type detection 期刊论文
INFORMATION SCIENCES, 2024, 卷号: 654, 页码: 16
作者:  Cai, Xingjuan;  Wu, Linjie;  Zhao, Tianhao;  Wu, Di;  Zhang, Wensheng;  Chen, Jinjun
收藏  |  浏览/下载：32/0  |  提交时间：2024/02/22
Adaptive response strategy  Type detection  Dynamic multi-objective optimization  Transfer learning  
Foregroundness-Aware Task Disentanglement and Self-Paced Curriculum Learning for Domain Adaptive Object Detection 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 12
作者:  Liu, Yabo;  Wang, Jinghua;  Xiao, Linhui;  Liu, Chengliang;  Wu, Zhihao;  Xu, Yong
收藏  |  浏览/下载：18/0  |  提交时间：2024/02/22
Curriculum learning  domain adaptive object detection  location metric  task disentanglement  
Adaptive-weighted deep multi-view clustering with uniform scale representation 期刊论文
NEURAL NETWORKS, 2024, 卷号: 171, 页码: 114-126
作者:  Chen, Rui;  Tang, Yongqiang;  Zhang, Wensheng;  Feng, Wenlong
收藏  |  浏览/下载：34/0  |  提交时间：2024/02/21
Multi-view clustering  Deep clustering  Adaptive-weighted learning  Uniform scale representation  
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：27/12  |  提交时间：2024/02/19
Adaptive optimal control  decentralized control  output regulation  reinforcement learning (RL)  singularly perturbed systems (SPSs)  
Noise-Tolerant ZNN-Based Data-Driven Iterative Learning Control for Discrete Nonaffine Nonlinear MIMO Repetitive Systems 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 344-361
作者:  Yunfeng Hu;  Chong Zhang;  Bo Wang;  Jing Zhao;  Xun Gong;  Jinwu Gao;  Hong Chen
Adobe PDF(15857Kb)  |  收藏  |  浏览/下载：41/14  |  提交时间：2024/01/23
Adaptive control  control system synthesis  data-driven iterative learning control  neurocontroller  nonlinear discrete time systems  
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：229/179  |  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)  
Open set domain adaptation with latent structure discovery and kernelized classifier learning 期刊论文
NEUROCOMPUTING, 2023, 卷号: 531, 页码: 125-139
作者:  Tang, Yongqiang;  Tian, Lei;  Zhang, Wensheng
收藏  |  浏览/下载：44/0  |  提交时间：2023/11/17
Open set domain adaptation  Adaptive graph learning  Latent structure discovery  Kernelized classifier learning  
Adaptive Multi-Step Evaluation Design With Stability Guarantee for Discrete-Time Optimal Learning Control 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 9, 页码: 1797-1809
作者:  Ding Wang;  Jiangyu Wang;  Mingming Zhao;  Peng Xin;  Junfei Qiao
Adobe PDF(5140Kb)  |  收藏  |  浏览/下载：105/48  |  提交时间：2023/08/10
Adaptive critic  artificial neural networks  Hamilton-Jacobi-Bellman (HJB) equation  multi-step heuristic dynamic programming  multi-step reinforcement learning  optimal control