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Adaptive model-based dynamic event-triggered output feedback control of a robotic manipulator with disturbance 期刊论文
ISATransactions, 2021, 页码: 64-78
作者:  Gao jie;  Kang Erlong;  He Wei;  Qiao hong
Adobe PDF(2719Kb)  |  收藏  |  浏览/下载：249/92  |  提交时间：2022/06/14
A Multi-Task MRC Framework for Chinese Emotion Cause and Experiencer Extraction 会议论文
, Bratislava, Slovakia, 2021-09
作者:  Haoda Qian;  Qiudan Li;  Zaichuan Tang
Adobe PDF(79001Kb)  |  收藏  |  浏览/下载：327/124  |  提交时间：2022/06/14
Adaptive Event-triggered Tracking Control for A Manipulator Based on Dynamic Neural Network 会议论文
, 重庆, 2021-7
作者:  Gao jie;  Zhang xiaodong;  Qiao hong
Adobe PDF(3222Kb)  |  收藏  |  浏览/下载：187/59  |  提交时间：2022/06/14
A novel event-triggered adaptive tracking control framework for a manipulator with aperiodic neural network estimation 期刊论文
Assembly Automation, 2022, 页码: 1-16
作者:  Gao jie
Adobe PDF(2045Kb)  |  收藏  |  浏览/下载：232/80  |  提交时间：2022/06/14
A survey of brain-inspired intelligent robots with integration of vision, decision, motion control and musculoskeletal systems 期刊论文
IEEE Transactions on Cybernetics, 2021, 卷号: 暂无, 期号: 暂无, 页码: 暂无
作者:  Hong Qiao;  Jiahao Chen;  Xiao Huang
Adobe PDF(1001Kb)  |  收藏  |  浏览/下载：208/50  |  提交时间：2021/06/01
Brain-inspired intelligent robots  musculoskeletal robots  visual cognition  decision making  muscle control  
Decentralized control for large-scale nonlinear systems with unknown mismatched interconnections via policy iteration 期刊论文
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2018, 卷号: 48, 期号: 10, 页码: 1725-1735
作者:  Zhao B(赵博);  Ding Wang
浏览  |  Adobe PDF(768Kb)  |  收藏  |  浏览/下载：353/97  |  提交时间：2018/10/14
Adaptive Dynamic Programming  Decentralized Control  Large-scale Systems  Neural Networks  
Data-based Robust Near-optimal Decentralized Stabilization of Unknown Large-scale Systems 会议论文
Proceedings of 2017 IEEE Symposium Series on Computational Intelligence, Hawaii, USA, 2017.11
作者:  Zhao B(赵博)
浏览  |  Adobe PDF(706Kb)  |  收藏  |  浏览/下载：127/40  |  提交时间：2018/01/11
Brain Tumor Segmentation Using a Fully Convolutional Network with Conditional Random Fields 会议论文
, Italy, 2016-9
作者:  Wu YH(吴毅红)
浏览  |  Adobe PDF(3047Kb)  |  收藏  |  浏览/下载：302/122  |  提交时间：2018/01/04
Online reinforcement learning for continuous-state systems 专著章节/文集论文
出自: Frontiers of Intelligent Control and Information Processing, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore:World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, 2014
作者:  Yuanheng Zhu;  Zhao DB(赵冬斌)
Adobe PDF(24150Kb)  |  收藏  |  浏览/下载：245/27  |  提交时间：2017/09/13
Observer-critic structure-based adaptive dynamic programming for decentralised tracking control of unknown large-scale nonlinear systems 期刊论文
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2017, 卷号: 48, 期号: 9, 页码: 1978-1989
作者:  Zhao, Bo;  Liu, Derong;  Yang, Xiong;  Li, Yuanchun
浏览  |  Adobe PDF(1233Kb)  |  收藏  |  浏览/下载：314/114  |  提交时间：2017/07/18
Adaptive Dynamic Programming  Decentralised Tracking Control  Unknown Large-scale Nonlinear Systems  Observer-critic Structure  Neural Networks