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Estimation of human impedance and motion intention for constrained human-robot interaction 期刊论文
NEUROCOMPUTING, 2020, 卷号: 390, 页码: 268-279
Authors:  Yu, Xinbo;  Li, Yanan;  Zhang, Shuang;  Xue, Chengqian;  Wang, Yu
Favorite  |  View/Download:22/0  |  Submit date:2020/06/22
Human motion intention estimation  Impedance learning  Adaptive neural network control  Full-state constraints  Barrier Lyapunov functions  
Robust synchronization of memristive neural networks with strong mismatch characteristics via pinning control 期刊论文
NEUROCOMPUTING, 2018, 卷号: 289, 页码: 144-154
Authors:  Li, Yueheng;  Luo, Biao;  Liu, Derong;  Yang, Zhanyu
Favorite  |  View/Download:86/0  |  Submit date:2018/10/10
Memristive Neural Networks  Robust Synchronization  Mismatch Characteristics  Pinning Control  
Torque sensorless decentralized neuro-optimal control for modular and reconfigurable robots with uncertain environments 期刊论文
NEUROCOMPUTING, 2018, 卷号: 282, 页码: 60-73
Authors:  Dong, Bo;  Zhou, Fan;  Liu, Keping;  Li, Yuanchun
Favorite  |  View/Download:58/0  |  Submit date:2019/12/16
Modular and reconfigurable robot  Decentralized control  Adaptive dynamic programming (ADP)  Optimal control  Neural networks  
Bounded robust control design for uncertain nonlinear systems using single-network adaptive dynamic programming 期刊论文
NEUROCOMPUTING, 2017, 卷号: 266, 页码: 128-140
Authors:  Huang, Yuzhu;  Wang, Ding;  Liu, Derong
Adobe PDF(1876Kb)  |  Favorite  |  View/Download:111/18  |  Submit date:2018/03/03
Neural Networks  Optimal Control  Adaptive Dynamic Programming  Bounded Robust Control  Uncertain Nonlinear Systems  
A novel neural optimal control framework with nonlinear dynamics: Closed-loop stability and simulation verification 期刊论文
NEUROCOMPUTING, 2017, 卷号: 266, 页码: 353-360
Authors:  Wang, Ding;  Mu, Chaoxu
Adobe PDF(1503Kb)  |  Favorite  |  View/Download:121/11  |  Submit date:2018/03/03
Adaptive Dynamic Programming  Adaptive System  Learning Control  Neural Network  Optimal Regulator  Stability  
Adaptive tracking control for a class of continuous-time uncertain nonlinear systems using the approximate solution of HJB equation 期刊论文
NEUROCOMPUTING, 2017, 卷号: 260, 页码: 432-442
Authors:  Mu, Chaoxu;  Sun, Changyin;  Wang, Ding;  Song, Aiguo
Adobe PDF(1555Kb)  |  Favorite  |  View/Download:178/57  |  Submit date:2017/09/12
Adaptive Tracking Control  Hamilton-jacobi-bellman (Hjb) Equation  Adaptive Dynamic Programming (Adp)  Neural Networks  Uncertainties  
Neural-network-based adaptive guaranteed cost control of nonlinear dynamical systems with matched uncertainties 期刊论文
NEUROCOMPUTING, 2017, 卷号: 245, 页码: 46-54
Authors:  Mu, Chaoxu;  Wang, Ding
Adobe PDF(1843Kb)  |  Favorite  |  View/Download:140/29  |  Submit date:2017/09/12
Adaptive Dynamic Programming (Adp)  Guaranteed Cost Control  Neural Networks  Uncertain Dynamics  Stability  
Distributed asynchronous event-triggered consensus of nonlinear multi-agent systems with disturbances: An extended dissipative approach 期刊论文
NEUROCOMPUTING, 2017, 卷号: 243, 页码: 103-114
Authors:  Ma, Chao;  Qiao, Hong
Adobe PDF(1955Kb)  |  Favorite  |  View/Download:131/14  |  Submit date:2017/07/18
Nonlinear Multi-agent Systems  Extended Dissipative Consensus  Event-triggered Consensus  
Data-driven adaptive dynamic programming for continuous-time fully cooperative games with partially constrained inputs 期刊论文
NEUROCOMPUTING, 2017, 卷号: 238, 期号: *, 页码: 377-386
Authors:  Zhang, Qichao;  Zhao, Dongbin;  Zhu, Yuanheng
View  |  Adobe PDF(1508Kb)  |  Favorite  |  View/Download:292/150  |  Submit date:2017/05/04
Adaptive Dynamic Programming  Optimal Control  Neural Network  Fully Cooperative Games  Data-driven  Constrained Input  
Self-tuned local feedback gain based decentralized fault tolerant control for a class of large-scale nonlinear systems 期刊论文
NEUROCOMPUTING, 2017, 期号: 235, 页码: 147-156
Authors:  Zhao, Bo;  Li, Yuanchun;  Liu, Derong
View  |  Adobe PDF(1373Kb)  |  Favorite  |  View/Download:174/37  |  Submit date:2017/05/05
Large-scale Nonlinear Systems  Partial Loss Of Actuator Effectiveness  Decentralized Fault Tolerant Control  Self-tuned Local Feedback Gain  Neural Network