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Adaptive learning nonsynchronous control of nonlinear hidden Markov jump systems with limited mode information 期刊论文
ELECTRONIC RESEARCH ARCHIVE, 2023, 卷号: 31, 期号: 11, 页码: 6746-6762
作者:  Ma, Chao;  Gao, Hang;  Wu, Wei
收藏  |  浏览/下载：22/0  |  提交时间：2023/12/21
adaptive control  nonsynchronous control  hidden Markov jump system  limited mode information  
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：159/0  |  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：303/57  |  提交时间：2021/12/28
High precision  Attractive region in environment  Constraint force field  Musculoskeletal robot  
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：347/64  |  提交时间：2021/03/29
Model predictive control  Neural network  Robotic manipulator  Unknown dynamics  Online learning estimation  Input constraints  
Mode-Dependent Event-Triggered Fault Detection for Nonlinear Semi-Markov Jump Systems With Quantization: Application to Robotic Manipulator 期刊论文
IEEE ACCESS, 2021, 卷号: 9, 页码: 21832-21842
作者:  Ji, Yidao;  Wang, Chenan;  Wu, Wei
收藏  |  浏览/下载：168/0  |  提交时间：2021/03/29
Fault detection  Quantization (signal)  Manipulators  Symmetric matrices  Licenses  Bandwidth  Markov processes  Mode-dependent quantization  mode-dependent event-triggered  fault detection  semi-Markov jump system  robotic manipulator  
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
浏览  |  Adobe PDF(466Kb)  |  收藏  |  浏览/下载：217/51  |  提交时间：2020/06/09
Brain-inspired model  emotion  motion learning  recurrent neural network