Relevant bibliographies by topics / Maximum power point tracking control

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  2. Dissertations / Theses
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Academic literature on the topic 'Maximum power point tracking control'

Author: Grafiati
Published: 7 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Maximum power point tracking control"

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Youssef, Ayman, Mohamed El Telbany, and Abdelhalim Zekry. "Reinforcement Learning for Online Maximum Power Point Tracking Control." Journal of Clean Energy Technologies 4, no. 4 (2015): 245–48. http://dx.doi.org/10.7763/jocet.2016.v4.290.

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Luo, Ping, Xia Fu Lv, and Min Li. "Maximum Power Point Tracking Control for Photovoltaic Module." Advanced Materials Research 773 (September 2013): 175–80. http://dx.doi.org/10.4028/www.scientific.net/amr.773.175.

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Photovoltaic (PV) system is one kind of important renewable energy source because of its pollution-free and inexhaustible nature. The efficiency of the PV is an important factor that will determine the output power. A maximum power point tracking (MPPT) control was discussed and was simulated based on PSIM. The result of simulation showed that this method was efficiently and quickly.
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Levron, Yoash, and Doron Shmilovitz. "Maximum Power Point Tracking Employing Sliding Mode Control." IEEE Transactions on Circuits and Systems I: Regular Papers 60, no. 3 (2013): 724–32. http://dx.doi.org/10.1109/tcsi.2012.2215760.

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Algazar, Mohamed M., Hamdy AL-monier, Hamdy Abd EL-halim, and Mohamed Ezzat El Kotb Salem. "Maximum power point tracking using fuzzy logic control." International Journal of Electrical Power & Energy Systems 39, no. 1 (2012): 21–28. http://dx.doi.org/10.1016/j.ijepes.2011.12.006.

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Gebraad, P. M. O., and J. W. van Wingerden. "Maximum power-point tracking control for wind farms." Wind Energy 18, no. 3 (2014): 429–47. http://dx.doi.org/10.1002/we.1706.

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Naick, Bhukya Krishna, Tarun Kumar Chatterjee, and Kalyan Chatterjee. "Performance Analysis of Maximum Power Point Tracking Algorithms Under Varying Irradiation." International Journal of Renewable Energy Development 6, no. 1 (2017): 65–74. http://dx.doi.org/10.14710/ijred.6.1.65-74.

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Photovoltaic (PV) system is one of the reliable alternative sources of energy and its contribution in energy sector is growing rapidly. The performance of PV system depends upon the solar insolation, which will be varying throughout the day, season and year. The biggest challenge is to obtain the maximum power from PV array at varying insolation levels. The maximum power point tracking (MPPT) controller, in association with tracking algorithm will act as a principal element in driving the PV system at maximum power point (MPP). In this paper, the simulation model has been developed and the res
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Abdeldjalil, Dahbi, Boualam Benlahbib, Miloud Benmedjahed, et al. "A Comparative Experimental Investigation of MPPT Controls for Variable Speed Wind Turbines." International journal of electrical and computer engineering systems 14, no. 6 (2023): 703–11. http://dx.doi.org/10.32985/ijeces.14.6.10.

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This work presents an experimental comparative investigation between Maximum power point tracking control methods used in variable speed wind turbines. In order to enhance the efficiency of the wind turbine system, the maximum power point tracking control has been applied for extracting and exploiting the maximum available wind power. Furthermore, two maximum power point tracking controls have been analyzed, developed, and investigated in real-time using Dspace. The first was optimal torque control without speed control, whereas the second was with speed control. The maximum power point tracki
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Farhat, Maissa, Aymen Flah, and Lassâad Sbita. "Photovoltaic Maximum Power Point Tracking Based on ANN Control." International Review on Modelling and Simulations (IREMOS) 7, no. 3 (2014): 474. http://dx.doi.org/10.15866/iremos.v7i3.1212.

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KAYIŞLI, Korhan, and Ruhi Zafer CAGLAYAN. "Twisting Sliding Mode Control based Maximum Power Point Tracking." Balkan Journal of Electrical and Computer Engineering 10, no. 4 (2022): 356–62. http://dx.doi.org/10.17694/bajece.1137170.

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For a world where energy demand is increasing day by day, available resources are constantly decreasing. At this point, it is very important to be able to benefit from the sun, which is the main energy source, with minimum damage to the environment. It is possible to produce electricity directly from sunlight through PV panels. Due to the limited efficiency of these panels, MPPT algorithms are always required. In this study, Sliding Mode Control (SMC) based Twisting Sliding Mode Control (T-SMC) MPPT, known for its robust structure, was performed and the results were compared with the classical
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Khanna, Raghav, Qinhao Zhang, William E. Stanchina, Gregory F. Reed, and Zhi-Hong Mao. "Maximum Power Point Tracking Using Model Reference Adaptive Control." IEEE Transactions on Power Electronics 29, no. 3 (2014): 1490–99. http://dx.doi.org/10.1109/tpel.2013.2263154.

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Dissertations / Theses on the topic "Maximum power point tracking control"

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Liu, Ying. "Advanced control of photovoltaic converters." Thesis, University of Leicester, 2009. http://hdl.handle.net/2381/7660.

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It is essential to always track maximum power from photovoltaic (PV) sources. Failure to track the global maximum power point under partial shading conditions is one of the major reasons that lead to significant power losses. Several maximum power point tracking methods have been proposed to deal with this problem. However, none of them were able to effectively identify the occurrence of partial shading. With the facility of Matlab modelling and simulation as well as the aid of a constructed solar emulator, the power-voltage characteristics of a PV panel under uniform and non-uniform irradianc
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Mac, Donald Ramasy Rafaël. "Instrumentation platform and Maximum Power Point tracking control for a hydrokinetic turbine." reponame:Repositório Institucional da UnB, 2017. http://repositorio.unb.br/handle/10482/24457.

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Dissertação (mestrado)—Universidade de Brasília, Faculdade de Tecnologia, Departamento de Engenharia Mecânica, 2017.<br>Submitted by Raquel Almeida (raquel.df13@gmail.com) on 2017-07-31T12:20:03Z No. of bitstreams: 1 2017_RamsayRafaelMacDonald.pdf: 4803485 bytes, checksum: 10d4b13dca72d536ac829226796346ba (MD5)<br>Approved for entry into archive by Raquel Viana (raquelviana@bce.unb.br) on 2017-09-11T16:28:58Z (GMT) No. of bitstreams: 1 2017_RamsayRafaelMacDonald.pdf: 4803485 bytes, checksum: 10d4b13dca72d536ac829226796346ba (MD5)<br>Made available in DSpace on 2017-09-11T16:28:58Z (GMT). No. o
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Venkatraman, Chandrasekar. "Hill climbing digital control algorithm for maximum power point tracking of photovoltaic arrays." Laramie, Wyo. : University of Wyoming, 2006. http://proquest.umi.com/pqdweb?did=1320938081&sid=2&Fmt=2&clientId=18949&RQT=309&VName=PQD.

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Al-Atrash, Hussam. "ANALYSIS AND DESIGN OF A MODULAR SOLAR-FED FAULT-TOLERANT POWER SYSTEM WITH MAXIMUM POWER POINT TRACKING." Master's thesis, University of Central Florida, 2005. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2572.

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Solar power is becoming ever more popular in a variety of applications. It is particularly attractive because of its abundance, renewability, and environment friendliness. Solar powered spacecraft systems have ever-expanding loads with stringent power regulation specifications. Moreover, they require a light and compact design of their power system. These constraints make the optimization of power harvest from solar arrays a critical task. Florida Power Electronics Center (FPEC) at UCF set to develop a modular fault-tolerant power system architecture for space applications. This architecture p
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Zou, Yu. "Modeling, Control and Maximum Power Point Tracking (MPPT) of Doubly-fed Induction Generator (DFIG) Wind Power System." University of Akron / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=akron1342445136.

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Jahanbakhsh, David. "Implementation of DC-DC converter with maximum power point tracking control for thermoelectric generator applications." Thesis, KTH, Elektrisk energiomvandling, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-109705.

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A heavy duty vehicle looses approximately 30-40 % of the energy in the fuel as waste heat through the exhaust system. Recovering this waste heat would make the vehicle meet the legislative and market demands of emissions and fuel consumption easier. This recovery is possible by transforming the waste heat to electric power using a thermoelectric generator. However, the thermoelectric generator electric characteristics makes direct usage of it unprotable, thus an electric power conditioner is necessary. First a study of dierent DC-DC converters is presented, based on that the most suitable conv
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Elmes, John. "MAXIMUM ENERGY HARVESTING CONTROL FOROSCILLATING ENERGY HARVESTING SYSTEMS." Master's thesis, University of Central Florida, 2007. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3400.

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This thesis presents an optimal method of designing and controlling an oscillating energy harvesting system. Many new and emerging energy harvesting systems, such as the energy harvesting backpack and ocean wave energy harvesting, capture energy normally expelled through mechanical interactions. Often the nature of the system indicates slow system time constants and unsteady AC voltages. This paper reveals a method for achieving maximum energy harvesting from such sources with fast determination of the optimal operating condition. An energy harvesting backpack, which captures energy from the i
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Moamaei, Parvin. "MAXIMUM POWER POINT TRACKING FOR PHOTOVOLTAIC APPLICATIONS BY USING TWO-LEVEL DC/DC BOOST CONVERTER." OpenSIUC, 2016. https://opensiuc.lib.siu.edu/theses/1974.

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Recently, photovoltaic (PV) generation is becoming increasingly popular in industrial applications. As a renewable and alternative source of energy they feature superior characteristics such as being clean and silent along with less maintenance problems compared to other sources of the energy. In PV generation, employing a Maximum Power Point Tracking (MPPT) method is essential to obtain the maximum available solar energy. Among several proposed MPPT techniques, the Perturbation and Observation (P&O) and Model Predictive Control (MPC) methods are adopted in this work. The components of the MPP
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Gaydarzhiev, Venceslav. "Energy extraction using maximum energy harvesting control as a refinement over maximum power point tracking on an energy harvesting backpack." Honors in the Major Thesis, University of Central Florida, 2007. http://digital.library.ucf.edu/cdm/ref/collection/ETH/id/1028.

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This item is only available in print in the UCF Libraries. If this is your Honors Thesis, you can help us make it available online for use by researchers around the world by following the instructions on the distribution consent form at http://library.ucf.edu/Systems/DigitalInitiatives/DigitalCollections/InternetDistributionConsentAgreementForm.pdf You may also contact the project coordinator, Kerri Bottorff, at kerri.bottorff@ucf.edu for more information.<br>Bachelors<br>Engineering and Computer Science<br>Electrical Engineering
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Ahmed, Rana. "Energy management and control for hybrid renewable energy sources in rural area." Thesis, Aix-Marseille, 2015. http://www.theses.fr/2015AIXM4353.

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Cette thèse propose principalement, un algorithme État-Flow MPPT basé P&amp;O, amélioré avec deux degrés de liberté, dans lequel le système événementiel (MPPT) de comportement est modélisé par le décrivant en terme de transition entre les états, sous certaines conditions. Secondairement, un algorithme étendu MPPT, base d'exploitation en parallèle de l'état-débit est en outre proposé d'être une solution difficile pour le contrôle indépendant du système hybride, où la caractéristique de contrôle continu peut se présenter au cours d'un certain état de travail tout en discrète, est indiquée le lon
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Books on the topic "Maximum power point tracking control"

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Eltamaly, Ali M., and Almoataz Y. Abdelaziz, eds. Modern Maximum Power Point Tracking Techniques for Photovoltaic Energy Systems. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-05578-3.

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Hébert, Maurice. Maximum Power Point Tracking: Background, Implementation and Classification. Nova Science Publishers, Incorporated, 2020.

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Maximum Power Point Tracking: Background, Implementation and Classification. Nova Science Publishers, Incorporated, 2020.

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Eltamaly, Ali M., and Almoataz Y. Abdelaziz. Modern Maximum Power Point Tracking Techniques for Photovoltaic Energy Systems. Springer, 2019.

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Sharma, Kamalkant, Sahil Attri, and Inderpreet Kaur. Maximum Power Point Tracking for Partially Shaded Photovoltaic Arrays Using ANN. Independently Published, 2019.

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Generation of Sinusoidal Voltage for Grid Connected Systems Using Maximum Power Point Tracking Technique. ASDF International, 2017.

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National Aeronautics and Space Administration (NASA) Staff. Solar Array Maximum Power Tracking with Closed-Loop Control of a 30-Centimeter Ion Thruster. Independently Published, 2018.

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Book chapters on the topic "Maximum power point tracking control"

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Xu, Wei, Chaoxu Mu, and Lei Tang. "Advanced Control Techniques for PV Maximum Power Point Tracking." In Advances in Solar Photovoltaic Power Plants. Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-50521-2_3.

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Feng, Yong, and Xinghuo Yu. "Maximum Power Point Tracking Control of Wind Energy Conversion Systems." In Advances in Industrial Control. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08413-8_3.

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Li, Zheng-ming, Xiao-hui Xia, and Yan-yan Yan. "One Improvement Control Method of Maximum Power Point Tracking." In Advanced Electrical and Electronics Engineering. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19712-3_64.

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Zhao, Haoran, and Qiuwei Wu. "Adaptive Control of Wind Turbines for Maximum Power Point Tracking." In Modeling and Modern Control of Wind Power. John Wiley & Sons, Ltd, 2017. http://dx.doi.org/10.1002/9781119236382.ch7.

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Fan, Rong, XiuXia Zhang, and ShunXian Bai. "A Maximum Power Point Tracking Method for Photovoltaic Systems." In Proceedings of the Second International Conference on Mechatronics and Automatic Control. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-13707-0_25.

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López-Erauskin, Ramón, Ander González, Johan Gyselinck, Giovanni Petrone, and Giovanni Spagnuolo. "Centralized Control in Photovoltaic Distributed Maximum Power Point Tracking Systems." In Lecture Notes in Electrical Engineering. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37161-6_39.

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Deshpande, Amruta S., and Sanjaykumar L. Patil. "Maximum Power Point Tracking Using a Hybrid Fuzzy Logic Control." In Advances in Data and Information Sciences. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-0694-9_21.

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Mishra, Sunil Kumar, Dusmanta Kumar Mohanta, Bhargav Appasani, and Ersan Kabalcı. "Maximum Power Point Tracking of OWC Using Rotational Speed Control." In Energy Systems in Electrical Engineering. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-9849-4_5.

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Mojallizadeh, M. R., and M. A. Badamchizadeh. "Application of Sliding-Mode Control for Maximum Power Point Tracking of PV Systems." In Power Systems. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6151-7_2.

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Li, Jie, Yunda Liu, and Xufang Bo. "The Research of Maximum Power Point Tracking Method for Photovoltaic System." In Future Computing, Communication, Control and Management. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27326-1_81.

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Conference papers on the topic "Maximum power point tracking control"

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Srishti, Prabin K. Padhy, Marco Rivera, and Dip Prakash Samajdar. "Maximum Power Point Tracking Using Model Predictive Control." In 2024 6th International Conference on Electrical, Control and Instrumentation Engineering (ICECIE). IEEE, 2024. https://doi.org/10.1109/icecie63774.2024.10970134.

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Waddarkall, Chetan, Sujata Kotabagi, Tarun Goudar, Sagar Joshi, and Nitish Naragund. "Maximum Power Point Tracking of EH-PMIC for TV Remote Control." In 2024 Asia Pacific Conference on Innovation in Technology (APCIT). IEEE, 2024. http://dx.doi.org/10.1109/apcit62007.2024.10673689.

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Xiaodong Zhang, Wenlong Li, and Jiangui Li. "Thermoelectric power generation with maximum power point tracking." In 8th International Conference on Advances in Power System Control, Operation and Management (APSCOM 2009). IET, 2009. http://dx.doi.org/10.1049/cp.2009.1787.

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Poojitha, Kommuri, L. Ashwini, B. S. Anjali, and J. Ramprabhakar. "Solar tracker using Maximum Power Point Tracking algorithm." In 2019 International Conference on Intelligent Computing and Control Systems (ICCS). IEEE, 2019. http://dx.doi.org/10.1109/iccs45141.2019.9065554.

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Shun Zhang and Tiechao Wang. "Maximum Power Point Tracking control of solar power generation systems." In 2016 3rd International Conference on Informative and Cybernetics for Computational Social Systems (ICCSS). IEEE, 2016. http://dx.doi.org/10.1109/iccss.2016.7586474.

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Mathew, David, and Della David. "An interleaved converter with maximum power point tracking." In 2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT). IEEE, 2017. http://dx.doi.org/10.1109/icicict1.2017.8342572.

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Xie, Wei, Guangyue Huang, Xiao Zhang, and Fang Deng. "A maximum power point tracking controller for thermoelectric generators." In 2017 36th Chinese Control Conference (CCC). IEEE, 2017. http://dx.doi.org/10.23919/chicc.2017.8028802.

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Abdelrahman, Hany, Felix Berkenkamp, Jan Poland, and Andreas Krause. "Bayesian optimization for maximum power point tracking in photovoltaic power plants." In 2016 European Control Conference (ECC). IEEE, 2016. http://dx.doi.org/10.1109/ecc.2016.7810598.

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Boulaam, K., and A. Boukhelifa. "Maximum power point tracking based on sliding mode control." In 2011 International Aegean Conference on Electrical Machines and Power Electronics (ACEMP) and Electromotion Joint Conference. IEEE, 2011. http://dx.doi.org/10.1109/acemp.2011.6490569.

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Purnama, Irwan, Yu-Kang Lo, and Huang-Jen Chiu. "A fuzzy control maximum power point tracking photovoltaic system." In 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2011. http://dx.doi.org/10.1109/fuzzy.2011.6007399.

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