Salah Leulmi

Work place: Department of Electric Power Engineering, Skikda Electric Power Systems Laboratory, University of August 20th, 1955, Skikda, Algeria



Research Interests: Engineering


Salah Leulmi, born in 1951 in Algeria, received the State Engineer Degree in Electric Power Systems Engineering from the Algiers National Polytechnic School in 1976, Algeria, a Master Degree of Engineering from RPI, Troy, NY, USA in Electric Power Systems Engineering in 1978 and a Ph.D. in Electrical Engineering from ISU, Ames, IA, USA in 1983.

He is the author of around 50 publications in journals & proceedings. He was the Head "Director" of the University of August 20th, 1955, Skikda, Algeria.

From 1992 to 2010, he was the President of the Scientific Council of the Faculty of Science & Technology at the same University. He is a Professor since 1988 up to now.

Prof. S. Leulmi is, also, a referee of 4 Algerian Journals & some Proceedings & one overseas society "WSEAS" for Proceedings & Journals.  Since 1992 up to now, he is the President of the NSC of the Equivalency Degrees, since 1992 to 2015.

Author Articles
Controlling and Synchronizing of Fractional-Order Chaotic Systems via Simple and Optimal Fractional-Order Feedback Controller

By Ammar Soukkou Salah Leulmi

DOI:, Pub. Date: 8 Jun. 2016

In this paper, a simple and optimal form of fractional-order feedback approach assigned for the control and synchronization of a class of fractional-order chaotic systems is proposed. The proposed control law can be viewed as a distributed network of linear regulators wherein each node is modeled by a PI controller with moderate gains. The multiobjective genetic algorithm with chaotic mutation, adopted in this work, can be visualized as a combination of structural and parametric genes of a controller orchestrated in a hierarchical fashion. Then, it is applied to select an optimal knowledge base, which characterizes the developed controller, and satisfies various design specifications. The proposed design and optimization of the developed controller represents a simple powerful approach to provide a reasonable tradeoff between computational overhead, storage space, numerical accuracy and stability criterion in control and synchronization of a class of fractional-order chaotic systems. Simulation results show the satisfactory performance of the proposed approach.

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