Internet of Things Based Industrial Automation Using Brushless DC Motor Application with Resilient Directed Neural Network Control FED Virtual Z-Source Multilevel Inverter Topology-Reference-Cited by-同舟云学术

Internet of Things Based Industrial Automation Using Brushless DC Motor Application with Resilient Directed Neural Network Control FED Virtual Z-Source Multilevel Inverter Topology

Published:2018-02-01 Issue:4 Volume:102 Page:3239-3254
ISSN:0929-6212
Container-title:Wireless Personal Communications
language:en
Short-container-title:Wireless Pers Commun

Author:

Sivaranjani S.,Rajeswari R.

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Science Applications

Link

http://link.springer.com/article/10.1007/s11277-018-5365-6/fulltext.html

Reference30 articles.

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3. Zheng, P., Wang, P., Sui, Y., Tong, C., Wu, F., & Li, T. (2014). Near-five-vector SVPWM algorithm for five-phase six-leg inverters under unbalanced load conditions. Journal of Power Electronics, 14(1), 61–73.

4. Fan, Y., Zhang, L., Cheng, M., & Chau, K. (2015). Sensorless SVPWM-FADTC of a new flux-modulated permanent-magnet wheel motor based on a wide-speed sliding mode observer. IEEE Transactions on Industrial Electronics, 62(5), 3143–3151.

5. Mutanga, O., Adam, E., Adjorlolo, C., & Abdel-Rahman, E. M. (2015). Evaluating the robustness of models developed from field spectral data in predicting African grass foliar nitrogen concentration using worldview-2 image as an independent test dataset. International Journal of Applied Earth Observation and Geoinformation, 34, 178–187.

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