A. Akbarzadeh and T. Wadowski, Heat pipe-based cooling systems for photovoltaic cells under concentrated solar radiation, Applied Thermal Engineering, vol.16, issue.1, pp.81-87, 1996.

A. H. Alami, Effects of evaporative cooling on efficiency of photovoltaic modules, Energy Conversion and Management, vol.77, pp.668-679, 2014.

K. J. Aström and T. Hägglund, The future of pid control, Control engineering practice, vol.9, issue.11, pp.1163-1175, 2001.

H. M. Bahaidarah, A. A. Baloch, and P. Gandhidasan, Uniform cooling of photovoltaic panels: a review, Renewable and Sustainable Energy Reviews, vol.57, pp.1520-1544, 2016.

J. Boes, F. Migeon, and F. Gatto, Self-organizing agents for an adaptive control of heat engines, ICINCO (1), pp.243-250, 2013.

M. Chandrasekar and T. Senthilkumar, Experimental demonstration of enhanced solar energy utilization in flat pv (photovoltaic) modules cooled by heat spreaders in conjunction with cotton wick structures, vol.90, pp.1401-1410, 2015.

D. Castillo and E. , Bayesian process monitoring, control and optimization, 2007.

M. Ebrahimi, M. Rahimi, and A. Rahimi, An experimental study on using natural vaporization for cooling of a photovoltaic solar cell, Int. Com. in Heat and Mass Transfer, vol.65, pp.22-30, 2015.

A. Feldbaum, Dual control theory, Automn. Remote Control, vol.22, pp.1-12, 1961.

J. Georgé, M. Gleizes, and V. Camps, Cooperation, Self-organising Software, pp.193-226, 2011.
URL : https://hal.archives-ouvertes.fr/hal-02429851

M. Gleizes, Self-adaptive complex systems, European Workshop on Multi-Agent Systems, pp.114-128, 2011.

L. Hamm, B. W. Brorsen, and M. T. Hagan, Global optimization of neural network weights, Proc. Int. Joint Conf. on Neural Networks, vol.2, pp.1228-1233, 2002.

G. Holmes, A. Donkin, and I. H. Witten, Weka: A machine learning workbench, Proc. of the 2nd, 1994.

, Conf. on Intelligent Information Systems, pp.357-361

N. R. Jennings and S. Bussmann, Agent-based control systems: Why are they suited to engineering complex systems?, IEEE control systems, vol.23, issue.3, pp.61-73, 2003.

C. Lee, Fuzzy logic in control systems: fuzzy logic controller, IEEE Trans. on systems, man, and cybernetics, vol.20, issue.2, pp.404-418, 1990.

N. S. Lewis, Research opportunities to advance solar energy utilization, Science, vol.351, issue.6271, p.1920, 2016.

M. Nikolaou, Model predictive controllers: A critical synthesis of theory and industrial needs, Advances in Chemical Engineering, vol.26, pp.131-204, 2001.

S. Ni?eti?, D. ?oko, A. Yadav, and F. Grubi?i?-?abo, Water spray cooling technique applied on a photovoltaic panel: The performance response. Energy Conversion and Management, vol.108, pp.287-296, 2016.

L. Pons and C. Bernon, A multi-agent system for autonomous control of game parameters, Int. Conf. on Systems, Man, and Cybernetics, pp.583-588, 2013.
URL : https://hal.archives-ouvertes.fr/hal-01147327

S. Sargunanathan, A. Elango, and S. T. Mohideen, Performance enhancement of solar photovoltaic cells using effective cooling methods: A review, Renewable and Sustainable Energy Reviews, vol.64, pp.382-393, 2016.

F. Shan, F. Tang, L. Cao, and G. Fang, Comparative simulation analyses on dynamic performances of photovoltaic-thermal solar collectors with different configurations, Energy Conversion and Management, vol.87, pp.778-786, 2014.

E. Skoplaki and J. A. Palyvos, On the temperature dependence of photovoltaic module electrical performance: A review of efficiency/power correlations. Solar energy, vol.83, pp.614-624, 2009.

R. F. Stengel and L. Ryan, Stochastic robustness of linear time-invariant control systems, IEEE Transactions on Automatic Control, vol.36, issue.1, pp.82-87, 1991.