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Simultaneous control of rigidity and hand tremor by adaptive fuzzy Q-learning.
Communications in Nonlinear Science and Numerical Simulation,
130, Artikel 107670.
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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
Li, C.
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Optimal Power Flow in a highly renewable power system based on attention neural networks.
Applied Energy,
359, Artikel 122779.
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Pajooh, B., Yildirim, B., Rouhi Ardeshiri, R., Gheisarnejad Chirani, M.
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Role of redox flow battery and AI-based controller in frequency regulation of weak microgrids.
Journal of Energy Storage,
84(Part B), Artikel 110904.
https://doi.org/10.1016/j.est.2024.110904
Lin, P.-C., Abbaszadeh, E., Mobayen, S., Rouhani, S. H., Su, C.-L., Haddad-Zarif, M.
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Soft variable structure fractional sliding-mode control for frequency regulation in renewable shipboard microgrids.
Ocean Engineering,
296, Artikel 117065.
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Lotfi, A., Maalandish, M., Aghaei, A., Samadian, A., Fathollahi, A., Hosseini, S. H.
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Novel multilevel inverter topology with low switch count.
International Journal of Emerging Electric Power Systems,
25(3), 305-319.
https://doi.org/10.1515/ijeeps-2022-0309
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,
74(Part A), Artikel 109282.
https://doi.org/10.1016/j.est.2023.109282
Mahmoudi, A., Khezri, R., Bidram, A.
, Khooban, M., Aki, H., Khalilpour, K., Abdeltawab, H. & Muyeen, S. M. (2023).
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
Badenhorst, W.
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Control-Oriented Electrochemical Model and Parameter Estimation for an All-Copper Redox Flow Battery.
Batteries,
9(5), Artikel 272.
https://doi.org/10.3390/batteries9050272
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
Naseri, F., Kazemi, Z., Larsen, P. G., Arefi, M. M. & Schaltz, E. (2023).
Cyber-Physical Cloud Battery Management Systems: Review of Security Aspects.
Batteries,
9(7), Artikel 382.
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Heidary, J., Oshnoei, S.
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Shipboard Microgrid Frequency Control Based on Machine Learning Under Hybrid Cyberattacks.
IEEE Transactions on Industrial Electronics,
71(7), 7136-7146.
https://doi.org/10.1109/TIE.2023.3303627
Taheri, M., Chen, Y., Zhang, C., Berardehi, Z. R., Roohi, M.
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A finite-time sliding mode control technique for synchronization chaotic fractional-order laser systems with application on encryption of color images.
Optik,
285, Artikel 170948.
https://doi.org/10.1016/j.ijleo.2023.170948
Yildirim, B., Razmi, P.
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Neuromorphic deep learning frequency regulation in stand-alone microgrids.
Applied Soft Computing,
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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,
343, Artikel 121233.
https://doi.org/10.1016/j.apenergy.2023.121233
Fathollahidehkordi, A., Gheisarnejad Chirani, M., Andresen, B., Farsizadeh, H. & Khooban, M. H. (2023).
Robust Artificial intelligence Controller for Stabilization of Full-Bridge Converters Feeding Constant Power Loads.
IEEE Transactions on Circuits and Systems II: Express Briefs,
70(9), 3504-3508.
https://doi.org/10.1109/TCSII.2023.3270751
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Digital twin of electric vehicle battery systems: Comprehensive review of the use cases, requirements, and platforms.
Renewable and Sustainable Energy Reviews,
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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
Rasooli Berardehi, Z., Zhang , C., Taheri, M., Roohi, M.
& Khooban, M. H. (2023).
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., Babaeian, E., Abolhasani, P.
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Ultra high step-up soft-switching DC/DC converter using coupled inductor and interleaved technique.
IET Power Electronics,
16(8), 1320-1338.
https://doi.org/10.1049/pel2.12472
Fathollahidehkordi, A., Gheisarnejad Chirani, M., Boudjadar, J., Homayounzadeh, M. & Khooban, M. H. (2023).
Optimal Design of Wireless Charging Electric Buses-Based Machine Learning: A Case Study of Nguyen-Dupuis Network.
I E E E Transactions on Vehicular Technology,
72(7), 8449-8458.
https://doi.org/10.1109/TVT.2023.3247838
Rezaei, M. A.
, Fathollahidehkordi, A., Rezaei, S., Hu, J.
, Gheisarnejad Chirani, M., Teimouri, A. R., Sharma, R., Mosavi, A. H.
& Khooban, M. H. (2022).
Adaptation of A Real-Time Deep Learning Approach with An Analog Fault Detection Technique for Reliability Forecasting of Capacitor Banks Used in Mobile Vehicles.
IEEE Access,
10, 132271-132287.
https://doi.org/10.1109/ACCESS.2022.3228916
Khezri, R., Razmi, P., Mahmoudi, A., Bidram, A.
& Khooban, M. H. (2023).
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.
https://doi.org/10.1109/TSTE.2022.3227003