Alireza Sahab

Work place: Faculty of Engineering, Electrical Engineering Group, Islamic Azad University, Lahijan Branch, Iran



Research Interests: Computer systems and computational processes, Systems Architecture, Process Control System, Control Theory


Ali Reza Sahab. Received the B.S. in control engineering from KNT the University of Technology, Tehran, Iran in 2001 and the M.S. and Ph.D. degrees in control engineering from Shahrood University of Technology, Shahrood, Iran in 2003 and 2009 respectively.
He is a staff member of Electrical Group, Engineering Faculty of Islamic Azad University, Lahijan Branch. His research interests include nonlinear control and intelligent systems.

Author Articles
Intelligent Controller for Synchronization New Three Dimensional Chaotic System

By Alireza Sahab Masoud Taleb Ziabari

DOI:, Pub. Date: 8 Jul. 2014

One of the most important phenomena of some systems is chaos which is caused by nonlinear dynamics. In this paper, the new 3 dimensional chaotic system is first investigated and then utilized an intelligent controller based on brain emotional learning (BELBIC), this new chaotic system is synchronized. The BELBIC consists of reward signal which accepts positive values. Improper selection of the parameters causes an improper behavior which may cause serious problems such as instability of the system. It is needed to optimize these parameters. Genetic Algorithm (GA), Cuckoo Optimization Algorithm (COA), Particle Swarm Optimization Algorithm (PSO) and Imperialist Competitive Algorithm (ICA) are used to compute the optimal parameters for the reward signal of BELBIC. These algorithms can select appropriate and optimal values for the parameters. These minimize the Cost Function, so the optimal values for the parameters will be founded. Selected cost function is defined to minimizing the least square errors. Cost function enforces the system errors to decay to zero rapidly. Numerical simulation will show that this method much better, faster and more effective than previous methods can be new 3D chaotic system mode to bring synchronized.

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Control and Synchronization of Hyperchaotic System based on SDRE method

By Masoud Taleb Ziabari Alireza Sahab

DOI:, Pub. Date: 8 Jun. 2014

In this paper, stabilization and synchronization problems of the hyperchaotic system is investigated. For this reason, state dependent Riccati equation (SDRE) is used. First, stabilizer is designed by SDRE method. Then, robust controller is designed that it can stabilize hyperchaotic system with uncertainly. Finally, synchronization problem between two hyperchaotic systems is considered. The optimal controller is designed that it synchronizes two hyperchaotic systems. Numerical simulation results are presented to show the effectiveness of the proposed controllers.

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