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settings Open AccessArticle Fractional-Order Fuzzy Control Approach for Photovoltaic/Battery Systems under Unknown Dynamics, Variable Irradiation and Temperature by Amirhosein Mosavi 1,2 [OrcID] , Sultan Noman Qasem 3,4 [OrcID] , Manouchehr Shokri 5, Shahab S 6,7,* [OrcID] and Ardashir Mohammadzadeh 8 [OrcID] 1 Environmental Quality, Atmospheric Science and Climate Change Research Group, Ton Duc Thang University, Ho Chi Minh City, Vietnam 2 Faculty of Environment and Labour Safety, Ton Duc Thang University, Ho Chi Minh City, Vietnam 3 Computer Science Department, College of Computer and Information Sciences, Al Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh 11432, Saudi Arabia 4 Computer Science Department, Faculty of Applied Science, Taiz University, Taiz 6803, Yemen 5 Faculty of civil engineering, Institute of Structural Mechanics (ISM), Bauhaus-Universität Weimar, 99423 Weimar, Germany 6 Institute of Research and Development, Duy Tan University, Da Nang 550000, Vietnam 7 Future Technology Research Center, National Yunlin University of Science and Technology, 123 University Road, Section 3, Douliou, Yunlin 64002, Taiwan 8 Electrical Engineering Department, University of Bonab, Bonab 5551785176, Iran * Author to whom correspondence should be addressed. Electronics 2020, 9(9), 1455; https://doi.org/10.3390/electronics9091455 (registering DOI) Received: 12 July 2020 / Revised: 1 September 2020 / Accepted: 3 September 2020 / Published: 6 September 2020 (This article belongs to the Section Artificial Intelligence) Download PDF Browse Figures Abstract For this paper, the problem of energy/voltage management in photovoltaic (PV)/battery systems was studied, and a new fractional-order control system on basis of type-3 (T3) fuzzy logic systems (FLSs) was developed. New fractional-order learning rules are derived for tuning of T3-FLSs such that the stability is ensured. In addition, using fractional-order calculus, the robustness was studied versus dynamic uncert