W. R. Ashby, An Introduction to Cybernetics, 1956.

K. J. Astrom and T. Hagglund, PID Controllers: Theory, Design, and Tuning. Instrument Society of America, 1995.

B. M. Colosimo, D. Castillo, and E. , Bayesian Process Monitoring, Control and Optimization, 2007.
DOI : 10.1201/9781420010701

A. A. Feldbaum, Dual control theory, I-IV. Automation Remote Control, pp.21-22, 1960.

V. Guivarch, V. Camps, and A. Pninou, Context awareness and adaptation in ambient systems by an adaptive multi-agent approach, International Joint Conference on Ambient Intelligence, 2012.

M. T. Hagan, H. B. Demuth, D. Jesus, and O. , An introduction to the use of neural networks in control systems, International Journal of Robust and Nonlinear Control, vol.34, issue.2, pp.12959-985, 2002.
DOI : 10.1002/rnc.727

C. C. Lee, Fuzzy logic in control systems: fuzzy logic controller. I, IEEE Transactions on Systems, Man, and Cybernetics, vol.20, issue.2, pp.404-418, 1990.
DOI : 10.1109/21.52551

M. Nikolaou, Model predictive controllers: A critical synthesis of theory and industrial needs, Advances in Chemical Engineering, vol.26, pp.131-204, 2001.
DOI : 10.1016/S0065-2377(01)26003-7

R. F. Stengel, Intelligent failure-tolerant control, IEEE Control Systems, vol.11, issue.4, pp.14-23, 1991.
DOI : 10.1109/37.88586

S. Videau, C. Bernon, P. Glize, and J. Uribelarrea, Controlling Bioprocesses Using Cooperative Self-organizing Agents, of Advances in Intelligent and Soft Computing, pp.141-150, 2011.
DOI : 10.1007/978-3-642-19875-5_19