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An IoT Edge Computing System Architecture and its Application 会议论文
, Nanjing, China, Oct. 30 – Nov.2, 2020.
作者:  Shichao Chen;  Qijie Li;  Hua Zhang;  fenghua.zhu@ia.ac.cn;  Gang Xiong;  Ying Tang
Adobe PDF(4370Kb)  |  收藏  |  浏览/下载：231/79  |  提交时间：2022/04/08
IoT  Edge computing  Energy monitoring and optimization Introduction  
Adaptive Neural Control of Nonlinear Nonstrict Feedback Systems With Full-State Constraints: A Novel Nonlinear Mapping Method 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 9
作者:  Zhang, Jiaming;  Niu, Ben;  Wang, Ding;  Wang, Huanqing;  Duan, Peiyong;  Zong, Guangdeng
收藏  |  浏览/下载：221/0  |  提交时间：2022/01/27
Nonlinear systems  Artificial neural networks  Design methodology  Adaptive control  Time-varying systems  Fuzzy logic  Backstepping  Asymptotic tracking control  neural networks (NN)  nonlinear mapping (NM)  nonstrict feedback structure  time-varying full-state constraints  uncertain nonlinear system  
Time-/Event-Triggered Adaptive Neural Asymptotic Tracking Control for Nonlinear Systems With Full-State Constraints and Application to a Single-Link Robot 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 11
作者:  Zhang, Jiaming;  Niu, Ben;  Wang, Ding;  Wang, Huanqing;  Zhao, Ping;  Zong, Guangdeng
收藏  |  浏览/下载：213/0  |  提交时间：2022/01/27
Artificial neural networks  Nonlinear systems  Control systems  Adaptive systems  Backstepping  Neurons  Task analysis  Asymptotic tracking control  barrier functions  full-state constraints  neural networks (NNs)  time-  event-triggered control  uncertain nonlinear systems  
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：195/0  |  提交时间：2020/06/22
Human motion intention estimation  Impedance learning  Adaptive neural network control  Full-state constraints  Barrier Lyapunov functions