@article {4752,
	title = {A New robust adaptive fuzzy synergetic control for nonlinear systems with an application to an inverted pendulum, ISSN / e-ISSN 1746-6172 / 1746-6180},
	journal = {International Journal of Modelling Identification and Control},
	volume = {volume 33},
	number = {N{\textdegree}2},
	year = {2019},
	abstract = {This paper deals with a nonlinear adaptive control design based on synergetic control, which also uses fuzzy systems to approximate the dynamics of nonlinear systems. The stability of the closed-loop system is ensured by the Lyapunov synthesis in the sense that all the signals are bounded, and the controller parameters adjusted by adaptation laws. The proposed algorithm is applied to an inverted pendulum to track a sinusoidal reference trajectory. Simulations and discussion are presented to illustrate the new robust adaptive fuzzy synergetic control described in this work.},
	url = {https://www.inderscience.com/offer.php?id=104378},
	author = {Abderazak, Saidi and Farid, Naceri}
}
@article {4746,
	title = {Speed Control of a doubly fed induction Machine Based on Fuzzy Adaptive, ISSN / e-ISSN 1758-3657 / 1758-8723},
	journal = {International Journal Intelligent Engineering Informatics},
	volume = {volume 7},
	number = {N{\textdegree}1~},
	year = {2019},
	pages = {pp.61 - 76},
	abstract = {In this paper, we are interested in the adaptive fuzzy control a technique has been studied and applied, namely adaptive fuzzy control based on theory of Lyapunov. The system based on the stability theory is used to approximate the gains\&nbsp;ke\&nbsp;and\&nbsp;kdce\&nbsp;to ensure the stability of the control in particular time, simulations results obtained by using MATLAB environment gives that the fuzzy adaptive control more robust, also it has superior dynamics performances. The results and test of robustness will be presented.},
	url = {https://www.inderscience.com/info/inarticle.php?artid=97551},
	author = {Abderazak, Saidi and Farid, Naceri}
}
@proceedings {65671,
	title = {Comparative study between Sliding mode controller and Fuzzy Sliding mode controller in a speed control for doubly fed induction motor},
	journal = {2016 4th International Conference on Control Engineering \& Information Technology (CEIT)},
	year = {2016},
	month = {2016},
	pages = {1-6},
	publisher = {IEEE},
	isbn = {1-5090-1055-6},
	author = {Abderazak, Saidi and Farid, Naceri}
}
