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Machine Learning-based Sizing of a Renewable-Battery System for Grid-Connected Homes with Fast-Charging Electric Vehicle.
IEEE Transactions on Sustainable Energy,
14(2), 837-848.
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Faraji, B., Gheisarnejad, M., Rouhollahi, K., Esfahani, Z.
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Machine Learning Approach based on Ultra-Local Model Control for Treating Cancer Pain.
I E E E Sensors Journal,
21(6), 8245-8252. Article 9285309.
https://doi.org/10.1109/JSEN.2020.3042937
Yalsavar, M., Karimaghaee, P., Sheikh-Akbari, A.
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Kernel Parameter Optimization for Support Vector Machine Based on Sliding Mode Control.
IEEE Access,
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Rasooli Berardehi, Z., Zhang , C., Taheri, M., Roohi, M.
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Implementation of T-S fuzzy approach for the synchronization and stabilization of non-integer-order complex systems with input saturation at a guaranteed cost.
Transactions of the Institute of Measurement and Control,
45(13), 2536-2553.
https://doi.org/10.1177/01423312231155273
Maalandish, M., Hosseini, S. H., Sabahi, M., Rostami, N.
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High step-up multi input–multi output DC–DC converter with high controllability for battery charger/EV applications.
IET Power Electronics,
16(15), 2606-2623.
https://doi.org/10.1049/pel2.12587
Mahmoudi, A., Khezri, R., Bidram, A.
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Guest editorial: Application of cloud energy storage systems in power systems.
IET Generation, Transmission and Distribution,
17(8), 1687-1689.
https://doi.org/10.1049/gtd2.12770
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,
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FMI real-time co-simulation-based machine deep learning control of HVAC systems in smart buildings: Digital-twins technology.
Transactions of the Institute of Measurement and Control,
45(4), 661-673.
https://doi.org/10.1177/01423312221119635
Sepehrzad, R., Ghafourian, J., Hedayatnia, A., Al-Durrad, A.
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Experimental and developed DC microgrid energy management integrated with battery energy storage based on multiple dynamic matrix model predictive control.
Journal of Energy Storage,
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https://doi.org/10.1016/j.est.2023.109282
Banaei, M., Ghanami, F.
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Energy Management of Hybrid Diesel/Battery Ships in Multidisciplinary Emission Policy Areas.
Energies,
13(16), Article 4179.
https://doi.org/10.3390/en13164179
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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,
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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), Article 19.
https://doi.org/10.3390/inventions5020019
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,
35(10), 9971-9977.
https://doi.org/10.1109/TPEL.2020.2977765
Maalandish, M., Hosseini, S. H., Sabahi, M., Rostami, N.
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B-MIMO high step-up DC/DC converter with high capability to control inputs.
IET Power Electronics,
16(9), 1499-1513.
https://doi.org/10.1049/pel2.12486
Liu, B., Wang, Y., Mofid, O., Mobayen, S.
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Barrier Function-Based Backstepping Fractional-Order Sliding Mode Control for Quad-Rotor Unmanned Aerial Vehicle under External Disturbances.
IEEE Transactions on Aerospace and Electronic Systems,
60(1), 716-728.
https://doi.org/10.1109/TAES.2023.3328801
Mohammadi Moghadam, H., Mohammadzadeh, A., Hadjiaghaie Vafaie, R., Tavoosi, J.
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A type-2 fuzzy control for active/reactive power control and energy storage management.
Transactions of the Institute of Measurement and Control,
44(5), 1014-1028.
https://doi.org/10.1177/01423312211048038
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
Rouhi Ardeshiri, R.
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& Khooban, M. H. (2022).
A robust intelligent controller-based motion control of a wheeled mobile robot.
Transactions of the Institute of Measurement and Control,
44(15), 2911-2918.
https://doi.org/10.1177/01423312221088389
Oshnoei, S., Aghamohammadi, M. R., Oshnoei , S., Sahoo, S.
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A novel virtual inertia control strategy for frequency regulation of islanded microgrid using two-layer multiple model predictive control.
Applied Energy,
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https://doi.org/10.1016/j.apenergy.2023.121233
Kowsari, E., Zarei, J., Razavi-Far, R., Saif, M., Dragicevic, T.
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A Novel Stochastic Predictive Stabilizer for DC Microgrids Feeding CPLs.
IEEE Journal of Emerging and Selected Topics in Power Electronics,
9(2), 1222-1232.
https://doi.org/10.1109/JESTPE.2020.3008885