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Design and Hysteresis Modeling of a Miniaturized Elastomer-Based Clutched Torque Sensor 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 卷号: 71, 页码: 9
作者:  Sun, Ning;  Cheng, Long;  Xia, Xiuze
Adobe PDF(1608Kb)  |  收藏  |  浏览/下载：316/91  |  提交时间：2022/06/06
Clutch  elastic torque sensor  hysteresis modeling  mechanical design  rubber spring  
Uncertainty and Disturbance Estimator-Based Control of a Flapping-Wing Aerial Vehicle With Unknown Backlash-Like Hysteresis 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2020, 卷号: 67, 期号: 6, 页码: 4826-4835
作者:  Yin, Zhao;  He, Wei;  Kaynak, Okyay;  Yang, Chenguang;  Cheng, Long;  Wang, Yu
收藏  |  浏览/下载：223/0  |  提交时间：2020/06/02
Routing  Routing protocols  Databases  Servers  Resilience  Advertising  Backlash  flapping-wing aerial vehicle (FWAV)  hysteresis  uncertainty and disturbance estimator (UDE)  
Simultaneous Observation of Hybrid States for Cyber-Physical Systems: A Case Study of Electric Vehicle Powertrain 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2018, 卷号: 48, 期号: 8, 页码: 2357-2367
作者:  Lv, Chen;  Liu, Yahui;  Hu, Xiaosong;  Guo, Hongyan;  Cao, Dongpu;  Wang, Fei-Yue
收藏  |  浏览/下载：224/0  |  提交时间：2019/12/16
Backlash nonlinearity  cyber-physical system (CPS)  electric powertrain  hybrid states  simultaneous observation  
Neural-Network-Based Nonlinear Model Predictive Control for Piezoelectric Actuators 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2015, 卷号: 62, 期号: 12, 页码: 7717-7727
作者:  Cheng, Long;  Liu, Weichuan;  Hou, ZengGuang;  Yu, Junzhi;  Tan, Min
浏览  |  Adobe PDF(1541Kb)  |  收藏  |  浏览/下载：739/283  |  提交时间：2016/01/18
Neuralnetworks  Nonlinearautoregressive-moving-average With Exogenous Inputs (Narmax)  Piezoelectric Actuator (Pea)  Predictive Control  
Approximate optimal solution of the DTHJB equation for a class of nonlinear affine systems with unknown dead-zone constraints 期刊论文
SOFT COMPUTING, 2014, 卷号: 18, 期号: 2, 页码: 349-357
作者:  Zhang, Dehua;  Liu, Derong;  Wang, Ding
Adobe PDF(621Kb)  |  收藏  |  浏览/下载：189/66  |  提交时间：2015/08/12
Nonlinear Affine System  Dead-zone  Dthjb  Neural Networks  Riemann Integral