1. Amara, K., Fekik, A., Hocine, D., Bakir, M.L., Bourennane, E.B., Malek, T.A., Malek, A.: Improved Performance of a PV solar panel with adaptive neuro fuzzy inference system ANFIS based MPPT, CDER Alger Algérie, LE2I University of Burgundy, Dijon France, LATEE TiziOuzou, Algéria, December 2018
2. Nigam, A., Gupta, A.K.: Performance and simulation between conventional and improved perturb and observe MPPT algorithm for solar PV cell using MATLAB/Simulink. In: International Conference on Control, Computing, Communication and Materials (ICCCCM), 2016, University Moradabad, UP, India
3. Abbes, H., Abid, H., Loukil, K., Toumi, A., Abid, M.: Etude comparative de cinq algorithmes de commande MPPT pour un système photovoltaïque. In : Conférence Internationale des Energies Renouvelables (CIER’13), 2013 x, Sfax Tunisia
4. Das, S.K., Panda, P.C., Samal, S.: Grid connected PV system with fuzzy logic controller. IEEE, ICCSP (April 2017), February, 2018, Chennai India
5. Lokanadham, M., Bhaskar, K.V.: Incremental conductance based maximum power point tracking (MPPT) for photovoltaic system. Int. J. Eng. Res. Appl. (IJERA) (2012). India