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Lasheen, A., and M. Elnaggar, "Implementable Discrete-Time L1 Adaptive Control for a Cart Inverted Pendulum System", International Conference on Control, Decision and Information Technology, 15 April, 2019.
Lasheen, A., M. Saad, H. Emara, and A. L. Elshafei, "Continuous-time tube-based explicit model predictive control for collective pitching of wind turbines", Energy, vol. 118, pp. 1222-1233, 2017. energy.pdf
Lasheen, A., M. Elnaggar, and H. Yassin, "Adaptive control design and implementation for collective pitch in wind energy conversion systems", ISA transactions, vol. 102: Elsevier, pp. 251–263, 2020. Abstract
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Lasheen, A., M. S. Saad, H. M. Emara, and A. L. Elshafei, "Robust Model Predictive Control for Collective Pitch in Wind Energy Conversion Systems", IFAC-PapersOnLine, vol. 50, no. 1: Elsevier, pp. 8746–8751, 2017. Abstract
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Lasheen, A., M. Elnaggar, and H. Yassin, "Adaptive control design and implementation for collective pitch in wind energy conversion systems", ISA transactions, vol. 102: Elsevier, pp. 251-263, 2020. Abstract
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Lasheen, A., M. S. Saad, H. M. Emara, and A. L. Elshafei, "Robust Model Predictive Control for Collective Pitch in Wind Energy Conversion Systems", IFAC-PapersOnLine, vol. 50, issue 1, pp. 8746-8751, 2017.
Lasheen, A., M. E. Ammar, H. H. Zeineldin, A. Al-Durra, M. F. Shaaban, and E. El-Saadany, Assessing the impact of reactive power droop on inverter based microgrid stability, , vol. 36, issue 3: IEEE, pp. 2380 - 2392, 2021. Abstract
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Lasheen, A., and M. Elnaggar, "Explicit Model Predictive Control for a Cart Inverted Pendulum System", International Conference on Systems and Control (ICSC), Spain, 26 Cot, 2018.
Lasheen, S., K. S. Shohdy, L. Kassem, and O. Abdel-Rahman, Fatigue, alopecia and stomatitis among patients with breast cancer receiving cyclin-dependent kinase 4 and 6 inhibitors: a systematic review and meta-analysis, , vol. 17, issue 9: Taylor & Francis, pp. 851 - 856, 2017. Abstract
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Lasheen, T. A., M. E. Ibrahim, H. B. Hassib, and A. S. Helal, "Recovery of molybdenum from uranium bearing solution by solvent extraction with 5-Nonylsalicylaldoxime", Hydrometallurgy, vol. 146, pp. 175 - 182, 2014. AbstractWebsite

Abstract 5-Nonylsalicylaldoxime, \{LIX\} 622N was used to extract and recover Mo(VI) from sulfate leach liquor containing Mo(VI) and U(VI). The extraction parameters were optimized as 10%(v/v) \{LIX\} 622N diluted in kerosene at equilibrium pH 1.0 and O/A phase ratio = 1:1. Under these conditions, complete extraction of Mo(VI) was realized by a two-stage counter current extraction. The formed complex MoO2R2 is assessed by \{FTIR\} analysis. The molybdenum content in the organic phase was stripped using a mixture of 2 M \{NH4OH\} + 2 M (NH4)2CO3. It was precipitated at pH value 2.0 as ammonium molybdate. After drying, thermal decomposition high purity (> 99.9%) of MoO3 was produced. The effect of temperature on the Mo(VI) extraction process showed that, the extraction process is exothermic with enthalpy change − 24.514 kJ mol− 1.

Lasheen, M. E., H. M. Badr, M. M. M. Kandiel, A. A. M. El-Maaty, H. Samir, M. Farouk, and M. H. Eldawy, "Predicting early pregnancy in Egyptian buffalo cows via measuring uterine and luteal blood flows, and serum and saliva progesterone", Tropical Animal Health and Production, vol. 50, pp. 137-142, 2018. Color Doppler of_buffaloe_reproduction. pdf
Lasheen, A., and A. L. Elshafei, "Wind-turbine collective-pitch control via a fuzzy predictive algorithm", Renewable Energy, vol. 87, issue 3, pp. 298–306, 2016.
Lasheen, A., M. Saad, H. Emara, and A. L. Elshafei, "Robust Model Predictive Control for Collective Pitch in Wind Energy Conversion Systems", IFAC PapersOnLine, Toulouse, France, 9-15 July, 2017. ifac2017.pdf
Lasheen, A., M. S. Saad, H. M. Emara, and A. L. Elshafei, "Continuous-time tube-based explicit model predictive control for collective pitching of wind turbines", Energy, vol. 118: Elsevier, pp. 1222–1233, 2017. Abstract
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Lasheen, A., A. Kamel, and A. L. Elshafei, "Designing Fuzzy Collective Pitch Controller for Variable Speed Variable Pitch Large Wind Turbines via LMI Techniques", ICMIC, Cairo, 31/8 -1/9, 2013.
Lasheen, A., M. S. Saad, H. M. Emara, and A. L. Elshafei, "Explicit model predictive control with time varying constraints for collective pitching in large wind turbines", IECON , Itali, 24-27 Oct., 2016.
Lasheen, A., A. Kamel, and A. L. Elshafei, "Designing fuzzy collective pitch controller for variable speed variable pitch large wind turbines via LMI techniques", Modelling, Identification & Control (ICMIC), 2013 Proceedings of International Conference on: IEEE, pp. 135–140, 2013. Abstract
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Lasheen, A., M. S. Saad, H. M. Emara, and A. L. Elshafe, "Explicit model predictive control with time varying constraints for collective pitching in large wind turbines", Industrial Electronics Society, IECON 2016-42nd Annual Conference of the IEEE, Florence, Italy, IEEE, pp. 4121-4126, 2016.
Lasheen, A., A. Kamel, and A. L. Elshafei, COLLECTIVE-PITCH FUZZY CONTROL OF LARGE WIND TURBINES, , 2016.
Lasheen, A., and A. L. Elshafei, "Fuzzy predictive control of the collective pitch in large wind turbines", European Control Conference, Austria, 15-17 July, 2015.
Lasheen, A., M. S. Saad, H. M. Emara, and A. L. Elshafei, "Tube-based explicit model predictive output-feedback controller for collective pitching of wind turbines", Renewable energy, vol. 131: Elsevier, pp. 549–562, 2019. Abstract
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Lasheen, A., M. S. Saad, H. M. Emara, and A. L. Elshafei, "Tube-based explicit model predictive output-feedback controller for collective pitching of wind turbines", Renewable Energy, vol. 131, pp. 549-562, 2019.
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