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Sliding-Mode Surface-Based Approximate Optimal Control for Uncertain Nonlinear Systems With Asymptotically Stable Critic Structure 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 卷号: 51, 期号: 6, 页码: 2858-2869
作者:  Zhao, Bo;  Liu, Derong;  Alippi, Cesare
收藏  |  浏览/下载：221/0  |  提交时间：2021/08/15
Optimal control  Perturbation methods  Nonlinear systems  Uncertainty  Cost function  Stability analysis  Adaptive systems  Adaptive critic designs  adaptive dynamic programming (ADP)  optimal control  sliding mode surface (SMS)  unknown mismatched perturbations  
Reinforcement Learning-Based Optimal Stabilization for Unknown Nonlinear Systems Subject to Inputs With Uncertain Constraints 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 10, 页码: 4330-4340
作者:  Zhao, Bo;  Liu, Derong;  Luo, Chaomin
收藏  |  浏览/下载：208/0  |  提交时间：2021/01/07
Nonlinear systems  Optimal control  Artificial neural networks  Actuators  Observers  Feedforward systems  Adaptive dynamic programming (ADP)  neural networks (NNs)  optimal control  reinforcement learning (RL)  uncertain input constraints  unknown nonlinear systems  
Minimal solution for estimating fundamental matrix under planar motion 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2021, 卷号: 64, 期号: 10, 页码: 3
作者:  Fu, Qiang;  Mu, Xinxing;  Wang, Yu
收藏  |  浏览/下载：149/0  |  提交时间：2020/09/07
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
作者:  Yu, Xinbo;  Li, Yanan;  Zhang, Shuang;  Xue, Chengqian;  Wang, Yu
收藏  |  浏览/下载：178/0  |  提交时间：2020/06/22
Human motion intention estimation  Impedance learning  Adaptive neural network control  Full-state constraints  Barrier Lyapunov functions  
A Continuous-Time Algorithm for Distributed Optimization Based on Multiagent Networks 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2019, 卷号: 49, 期号: 12, 页码: 2700-2709
作者:  He, Xing;  Huang, Tingwen;  Yu, Junzhi;  Li, Chaojie;  Zhang, Yushu
收藏  |  浏览/下载：245/0  |  提交时间：2020/03/30
Continuous-time algorithm  distributed optimization  multiagent network