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An Intelligent and Fast Controller for DC/DC Converter Feeding CPL in a DC Microgrid.
IEEE Transactions on Circuits and Systems II: Express Briefs,
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Parvaresh, A., Abrazeh, S., Mohseni, S.-R., Jahanshahi Zeitouni, M., Gheisarnejad, M.
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A Novel Deep Learning Backstepping Controller-Based Digital Twins Technology for Pitch Angle Control of Variable Speed Wind Turbine.
Designs,
4(2), 1-19. Artikel 15.
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Hajihosseini, M., Andalibi, M., Gheisarnejad, M., Farsizadeh, H.
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DC/DC Power Converter Control-Based Deep Machine Learning Techniques: Real-Time Implementation .
IEEE Transactions on Power Electronics,
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Jahanshahi Zeitouni, M., Parvaresh, A., Abrazeh, S., Mohseni, S.-R., Gheisarnejad, M.
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Digital Twins-Assisted Design of Next-Generation Advanced Controllers for Power Systems and Electronics: Wind Turbine as a Case Study.
Inventions,
5(2), Artikel 19.
https://doi.org/10.3390/inventions5020019
Banaei, M., Ghanami, F.
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Energy Management of Hybrid Diesel/Battery Ships in Multidisciplinary Emission Policy Areas.
Energies,
13(16), Artikel 4179.
https://doi.org/10.3390/en13164179
Vafamand, N., Asemani, M. H., Dragicevic, T., Blaabjerg, F.
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Fuzzy-Observer-Based Predictive Stabilization of DC Microgrids With Power Buffers Through an Imperfect 5G Network.
IEEE Systems Journal,
14(3), 4025-4035. Artikel 9027093.
https://doi.org/10.1109/JSYST.2019.2963788
Rouhi Ardeshiri, R.
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Robotic manipulator control based on an optimal fractional-order fuzzy PID approach: SiL real-time simulation.
Soft Computing,
24, 3849-3860.
https://doi.org/10.1007/s00500-019-04152-7
Golmohamadi, H., Keypour, R., Bak-Jensen, B., Pillai, J.
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Robust self-scheduling of operational processes for industrial demand response aggregators.
IEEE Transactions on Industrial Electronics,
67(2), 1387-1395.
https://doi.org/10.1109/TIE.2019.2899562
Asadi, S., Khayatian, A., Dehghani, M., Vafamand, N.
& Khooban, M. H. (2020).
Robust sliding mode observer design for simultaneous fault reconstruction in perturbed Takagi-Sugeno fuzzy systems using non-quadratic stability analysis.
Journal of Vibration and Control,
26(11-12), 1092-1105. Artikel 1077546319891693.
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Roohi, M.
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A switching sliding mode control technique for chaos suppression of fractional-order complex systems.
Transactions of the Institute of Measurement and Control,
41(10), 2932-2946.
https://doi.org/10.1177/0142331219834606
Yousefizadeh, S., Bendtsen, J. D., Vafamand, N.
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EKF-Based Predictive Stabilization of Shipboard DC Microgrids With Uncertain Time-Varying Load.
IEEE Journal of Emerging and Selected Topics in Power Electronics,
7(2), 901-909. Artikel 8590740.
https://doi.org/10.1109/JESTPE.2018.2889971
Esfahani, Z., Roohi, M., Gheisarnejad, M., Dragicevic, T.
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Optimal Non-Integer Sliding Mode Control for Frequency Regulation in Stand-Alone Modern Power Grids.
Applied Sciences,
9(16), Artikel 3411.
https://doi.org/10.3390/app9163411
Vafamand, N., Mardani, M. M.
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Pulsed power load effect mitigation in DC shipboard microgrids: A constrained model predictive approach.
IET Power Electronics,
12(9), 2155-2160.
https://doi.org/10.1049/iet-pel.2018.6159
Khooban, M. H., Gheisarnejad, M., Vafamand, N., Jafari, M., Mobayen, S., Dragicevic, T.
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Robust Frequency Regulation in Mobile Microgrids: HIL Implementation.
IEEE Systems Journal,
13(4), 4281-4291.
https://doi.org/10.1109/JSYST.2019.2911210
Torabi-Farsani, K., Asemani, M. H., Badfar, F., Vafamand, N.
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Robust Mixed μ-synthesis Frequency Regulation in AC Mobile Power Grids.
IEEE Transactions on Transportation Electrification,
5(4), 1182-1189. Artikel 8936372.
https://doi.org/10.1109/TTE.2019.2960637
Vafamand, N.
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Robust Non-Fragile Fuzzy Control of Uncertain DC Microgrids Feeding Constant Power Loads.
IEEE Transactions on Power Electronics,
34(11), 11300-11308.
https://doi.org/10.1109/TPEL.2019.2896019
Vafamand, N.
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Time-Delayed Stabilizing Secondary Load Frequency Control of Shipboard Microgrids.
IEEE Systems Journal,
13(3), 3233-3241.
https://doi.org/10.1109/JSYST.2019.2892528
Askarpour, M., Aghaei, J.
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Voltage control of critical and non-critical loads in distribution networks with electric spring.
Electric Power Systems Research,
177, Artikel 105988.
https://doi.org/10.1016/j.epsr.2019.105988