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Observer-based event and self-triggered adaptive output feedback control of robotic manipulators 期刊论文
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2022, 页码: 32
作者:  Gao, Jie;  He, Wei;  Qiao, Hong
收藏  |  浏览/下载：155/0  |  提交时间：2022/11/14
first-order filter  impulsive dynamical system  model-based event-triggered control  neural network  nonlinear uncertainty  observer estimation  robotic manipulator  
Structure transforming for constructing constraint force field in musculoskeletal robot 期刊论文
ASSEMBLY AUTOMATION, 2021, 页码: 12
作者:  Zhong, Shanlin;  Chen, Ziyu;  Zhou, Junjie
Adobe PDF(2152Kb)  |  收藏  |  浏览/下载：298/57  |  提交时间：2021/12/28
High precision  Attractive region in environment  Constraint force field  Musculoskeletal robot  
Reliable mode-dependent memorized projective lag synchronization for semi-Markovian jumping coupled networks 期刊论文
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING, 2021, 卷号: 235, 期号: 8, 页码: 1367-1374
作者:  Ji, Yidao;  Wu, Wei
收藏  |  浏览/下载：151/0  |  提交时间：2021/11/02
Reliable synchronization  projective lag synchronization  memorized synchronization  semi-Markovian jumping coupled networks  
Bioinspired Gain-Modulated Recurrent Neural Network for Controlling Musculoskeletal Robot 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 16
作者:  Zhong, Shanlin;  Zhou, Junjie;  Qiao, Hong
收藏  |  浏览/下载：209/0  |  提交时间：2022/01/27
Robots  Modulation  Robot kinematics  Neurons  Brain modeling  Recurrent neural networks  Encoding  Biologically inspired control  gain modulation  motor primitives  musculoskeletal robot  recurrent neural network (RNN)  
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：345/64  |  提交时间：2021/03/29
Model predictive control  Neural network  Robotic manipulator  Unknown dynamics  Online learning estimation  Input constraints  
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：254/84  |  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：331/38  |  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：364/48  |  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：368/57  |  提交时间：2020/03/30
Distributed consensus  Markov jump multi-agent systems  Mode-dependent event-triggered communication  Mode-dependent switching topologies  
Distributed mode-dependent state estimation for semi-Markovian jumping neural networks via sampled data 期刊论文
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2019, 卷号: 50, 期号: 1, 页码: 216-230
作者:  Ma, Chao;  Wu, Wei;  Li, Yinlin
收藏  |  浏览/下载：200/0  |  提交时间：2019/07/12
Distributed state estimation  semi-Markovian jumping neural networks  sampled data