The following information was submitted:
Transactions: INTERNATIONAL JOURNAL of MATHEMATICS AND COMPUTERS IN SIMULATION
Transactions ID Number: 19-910
Full Name: Alireza Sahab
Position: Assistant Professor
Age: ON
Sex: Male
Address: Motahhari Ave. - Arjang Ave. - Saiiah All. - No.60 - 2nd Floor - Banda Anzali - Guilan - Iran
Country: IRAN
Tel: 9111832163
Tel prefix: 0098
Fax: 00981412222150
E-mail address: sahab@iau-lahijan.ac.ir
Other E-mails: ali.reza.sahab@gmail.com
Title of the Paper: synchronization chaos using ogbm with genetic algorithm
Authors as they appear in the Paper: Alireza Sahab, Mohammadreza Modabbernia,Amir Gholami Pastaki
Email addresses of all the authors: sahab@iau.lahijan.ac.ir,m_modabbernia@afr.ac.ir,amgholami@iau.ac.ir
Number of paper pages: 8
Abstract: This paper presents a new method to synchronize chaos in nonlinear systems. This new method is called Generalized Backstepping Method (GBM) because of its similarity to Backstepping Method (BM), but its more abilities to control nonlinear systems than it; such as wide range of controllable systems, better settling time, lower overshoot and etc. In paper chaos in Lorenz equations is selected as case study. This method has some coefficient that positively is only condition to select them. In papers this parameters are chosen optionally but optimal selection of this parameters help to receive best response of systems. In this study Genetic Algorithm (GA) is chosen to optimize these parameters. GA select best values for them by minimizing fitness function that defined to minimize error function. The results of simulations prove more abilities of GBM than many methods to decrease error.
Keywords: Lorenz, chaos, Lyapunov, Generalized Backstepping Method, Genetic Algorithm
EXTENSION of the file: .pdf
Special (Invited) Session: stabilization and tracking in lorenz chaotic system using optimal generalized backstepping method
Organizer of the Session: 202-301
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