CIOMP OpenIR

浏览/检索结果: 共4条,第1-4条 帮助

限定条件        
已选(0)清除 条数/页:   排序方式:
Speed Adaptive Sliding Mode Control with an Extended State Observer for Permanent Magnet Synchronous Motor 期刊论文
Mathematical Problems in Engineering, 2018, 卷号: 0, 页码: 13
作者:  Xia, P. P.;  Deng, Y. T.;  Wang, Z. Q.;  Li, H. W.
浏览  |  Adobe PDF(2346Kb)  |  收藏  |  浏览/下载:318/107  |  提交时间:2019/09/17
neural-network  motion control  drive systems  machines  design  Engineering  Mathematics  
Narrow-Strip Single-Longitudinal-Mode Laser Based on Periodic Anodes Defined by i-Line Lithography 期刊论文
Ieee Photonics Journal, 2018, 卷号: 10, 期号: 2, 页码: 10
作者:  Gao, F.;  Qin, L.;  Chen, Y. Y.;  Jia, P.;  Chen, C.;  Cheng, L. W.;  Chen, H.;  Liang, L.;  Zeng, Y. G.;  Zhang, X.;  Ning, Y. Q.;  Wang, L. J.
浏览  |  Adobe PDF(907Kb)  |  收藏  |  浏览/下载:408/114  |  提交时间:2019/09/17
Semiconductor lasers  single longitudinal mode  narrow linewidth  feedback semiconductor-lasers  coupled dfb lasers  surface gratings  gain  nm  power  linewidth  Engineering  Optics  Physics  
Robust Sliding Mode Control of PMSM Based on Rapid Nonlinear Tracking Differentiator and Disturbance Observer 期刊论文
Sensors, 2018, 卷号: 18, 期号: 4, 页码: 19
作者:  Zhou, Z. M.;  Zhang, B.;  Mao, D. P.
浏览  |  Adobe PDF(27628Kb)  |  收藏  |  浏览/下载:328/39  |  提交时间:2019/09/17
permanent magnet synchronous motor  inertia stability  sliding mode  control  nonlinear tracking differentiator  disturbance observer  robust  torque ripple minimization  motor-drives  feedforward  systems  design  Chemistry  Electrochemistry  Instruments & Instrumentation  
Predicting tool wear with multi-sensor data using deep belief networks 期刊论文
International Journal of Advanced Manufacturing Technology, 2018, 卷号: 99, 期号: 2019-05-08, 页码: 1917-1926
作者:  Chen, Y. X.;  Jin, Y.;  Jiri, G.
浏览  |  Adobe PDF(2114Kb)  |  收藏  |  浏览/下载:372/134  |  提交时间:2019/09/17
Tool wear prediction  Deep belief network  Support vector regression  Artificial neural network  neural-networks  diagnosis  state  model  optimization  prognostics  machinery  algorithm  filter  Automation & Control Systems  Engineering