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CASIA OpenIR

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Accelerated Primal-Dual Projection Neurodynamic Approach with time Scaling for Linear and set Constrained Convex Optimization Problems 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1485-1498
作者:  You Zhao;  Xing He;  Mingliang Zhou;  Tingwen Huang
Adobe PDF(2287Kb)  |  收藏  |  浏览/下载：5/3  |  提交时间：2024/05/22
Accelerated projection neurodynamic approach  linear and set constraints  projection operators  smooth and nonsmooth convex optimization  time scaling  
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：4/2  |  提交时间：2024/05/22
Adaptive control  event-triggered mechanisms  formation containment (FC)  heterogeneous multiagent systems  time-varying group formation  
Asynchronous learning-based output feedback sliding mode control for semi-Markov jumpsystems: A descriptor approach 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1358-1369
作者:  Zheng Wu;  Yiyun Zhao;  Fanbiao Li;  Tao Yang;  Yang Shi;  Weihua Gui
Adobe PDF(2638Kb)  |  收藏  |  浏览/下载：2/1  |  提交时间：2024/05/22
Asynchronous switching  learning-based control  output feedback  semi-Markovian jump systems  sliding mode control (SMC)  
Dynamic Movement Primitives Based Robot Skills Learning 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 3, 页码: 396-407
作者:  Ling-Huan Kong;  Wei He;  Wen-Shi Chen;  Hui Zhang;  Yao-Nan Wang
Adobe PDF(3181Kb)  |  收藏  |  浏览/下载：10/4  |  提交时间：2024/04/23
Dynamic movement primitives (DMPs), trajectory tracking control, robot learning from demonstrations, neural networks (NNs), adaptive control  
Towards a New Paradigm for Brain-inspired Computer Vision 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 5, 页码: 412-424
作者:  Xiao-Long Zou;  Tie-Jun Huang;  Si Wu
Adobe PDF(1615Kb)  |  收藏  |  浏览/下载：9/1  |  提交时间：2024/04/23
Brain-inspired computer vision  spatio-temporal patterns  object detection  object tracking  object recognition  
Efficient Visual Recognition: A Survey on Recent Advances and Brain-inspired Methodologies 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 5, 页码: 366-411
作者:  Yang Wu;  Ding-Heng Wang;  Xiao-Tong Lu;  Fan Yang;  Man Yao;  Wei-Sheng Dong;  Jian-Bo Shi;  Guo-Qi Li
Adobe PDF(6780Kb)  |  收藏  |  浏览/下载：14/3  |  提交时间：2024/04/23
Visual recognition  deep neural networks (DNNS)  brain-inspired methodologies  network compression  dynamic inference  survey  
Neural Decoding of Visual Information Across Different Neural Recording Modalities and Approaches 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 5, 页码: 350-365
作者:  Yi-Jun Zhang;  Zhao-Fei Yu;  Jian. K. Liu;  Tie-Jun Huang
Adobe PDF(1723Kb)  |  收藏  |  浏览/下载：18/6  |  提交时间：2024/04/23
Neural decoding  machine learning  deep learning  visual decoding  brain-inspired vision  
Continuous-time Distributed Heavy-ball Algorithm for Distributed Convex Optimization over Undirected and Directed Graphs 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 1, 页码: 75-88
作者:  Hao-Ran Yang;  Wei Ni
Adobe PDF(1378Kb)  |  收藏  |  浏览/下载：9/3  |  提交时间：2024/04/23
Distributed convex optimization  second-order distributed algorithm  multi-agent systems  gradient tracking  directed graph  
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：27/9  |  提交时间：2024/04/10
Adaptive neural control (ANC)  deterministic learning (DL)  neural network (NN)  robot manipulators  
Event-Triggered Bipartite Consensus Tracking and Vibration Control of Flexible Timoshenko Manipulators Under Time-Varying Actuator Faults 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1190-1201
作者:  Xiangqian Yao;  Hao Sun;  Zhijia Zhao;  Yu Liu
Adobe PDF(3001Kb)  |  收藏  |  浏览/下载：15/3  |  提交时间：2024/04/10
Bipartite consensus tracking  event-triggered control  multiple manipulators  neural networks  time-varying actuator faults