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Asynchronous fault detection for delayed semi-markov jump systems with mismatched mode-dependent nonlinearities 期刊论文
INFORMATION SCIENCES, 2022, 卷号: 587, 页码: 679-691
作者:  Ma, Chao;  Fu, Hang;  Wu, Wei
收藏  |  浏览/下载：144/0  |  提交时间：2022/07/25
Asynchronous fault detection  Semi-Markov jump systems  Mismatched mode-dependent  nonlinearities  Time-varying delay  
Hierarchical Motion Learning for Goal-Oriented Movements With Speed-Accuracy Tradeoff of a Musculoskeletal System 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 页码: 14
作者:  Zhou, Junjie;  Zhong, Shanlin;  Wu, Wei
Adobe PDF(5440Kb)  |  收藏  |  浏览/下载：236/46  |  提交时间：2022/01/27
Brain-inspired decision making  Fitts' law  Motion generation  Musculoskeletal system  Speed-accuracy tradeoff (SAT)  
Neural network-based model predictive tracking control of an uncertain robotic manipulator with input constraints 期刊论文
ISA TRANSACTIONS, 2021, 卷号: 109, 页码: 89-101
作者:  Kang, Erlong;  Qiao, Hong;  Gao, Jie;  Yang, Wenjing
Adobe PDF(942Kb)  |  收藏  |  浏览/下载：321/61  |  提交时间：2021/03/29
Model predictive control  Neural network  Robotic manipulator  Unknown dynamics  Online learning estimation  Input constraints  
Computational modeling of Emotion-motivated Decisions for Continuous Control of Mobile Robots 期刊论文
IEEE Transactions on Cognitive and Developmental Systems, 2020, 卷号: 13, 期号: 2020, 页码: 1-14
作者:  Huang, Xiao;  Wu, Wei;  Qiao, Hong
浏览  |  Adobe PDF(5970Kb)  |  收藏  |  浏览/下载：231/84  |  提交时间：2020/06/09
Brain-inspired Computing  Emotion-motivated Learning  Emotion-memory Interactions  Decision-making  Reinforcement Learning  
Connecting Model-Based and Model-Free Control With Emotion Modulation in Learning Systems 期刊论文
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019, 卷号: 10, 期号: 4, 页码: 1-15
作者:  Huang, Xiao;  Wu, Wei;  Qiao, Hong
浏览  |  Adobe PDF(1614Kb)  |  收藏  |  浏览/下载：236/83  |  提交时间：2020/06/09
Brain-inspired computing  decision-making  emotion modulation  emotion-cognition interactions  reinforcement learning  
From Rough to Precise: Human-Inspired Phased Target Learning Framework for Redundant Musculoskeletal Systems 期刊论文
FRONTIERS IN NEUROROBOTICS, 2019, 卷号: 13, 期号: 61, 页码: 14
作者:  Zhou, Junjie;  Chen, Jiahao;  Deng, Hu;  Qiao, Hong
Adobe PDF(3654Kb)  |  收藏  |  浏览/下载：306/36  |  提交时间：2019/12/16
musculoskeletal system  human-inspired motion learning  noise in nervous system  reinforcement learning  phased target learning  
Realizing human-like manipulation with a musculoskeletal system and biologically inspired control scheme 期刊论文
NEUROCOMPUTING, 2019, 卷号: 339, 期号: 暂无, 页码: 116-129
作者:  Jiahao Chen;  Shanlin Zhong;  Erlong Kang;  Hong Qiao
Adobe PDF(4018Kb)  |  收藏  |  浏览/下载：352/46  |  提交时间：2019/07/12
Human-like manipulation  Musculoskeletal system  Biologically inspired  Muscle synergy  Attractive region in environment  
Distributed consensus of networked markov jump multi-agent systems with mode-dependent event-triggered communications and switching topologies 期刊论文
PEER-TO-PEER NETWORKING AND APPLICATIONS, 2019, 卷号: 12, 页码: 1753-1760
作者:  Ma, Chao;  Kang, Erlong
Adobe PDF(1013Kb)  |  收藏  |  浏览/下载：351/55  |  提交时间：2020/03/30
Distributed consensus  Markov jump multi-agent systems  Mode-dependent event-triggered communication  Mode-dependent switching topologies  
Distributed event-triggered synchronization for robotic teleoperation systems with randomly occurring gain fluctuations 期刊论文
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2018, 卷号: 15, 期号: 2, 页码: 1729881418770881
作者:  Ma, Chao;  Kang, Erlong
Adobe PDF(636Kb)  |  收藏  |  浏览/下载：243/46  |  提交时间：2019/12/16
Asynchronous event-triggered scheme  event-triggered synchronization  robotic teleoperation systems  randomly occurring gain fluctuations  Lyapunov-Krasovskii method  
Improving Learning Efficiency of Recurrent Neural Network through Adjusting Weights of All Layers in a Biologically-inspired Framework 会议论文
, Anchorage, AK, USA, 2017-5-14
作者:  Huang, Xiao;  Wu, Wei;  Yin, Peijie;  Qiao, Hong
Adobe PDF(466Kb)  |  收藏  |  浏览/下载：201/48  |  提交时间：2020/06/09
Brain-inspired model  emotion  motion learning  recurrent neural network