Parameter Identification of Time-delayed Chaotic System Using Teaching–Learning-Based Optimization Algorithm

parameter estimation of chaotic systems is a significant topic in many fields of study such as engineering, communication and chemistry. A physical problem which should be mentioned in parameter estimation and synchronization of chaotic systems is concerning the time delay which is ignored in many related papers. In this paper we propose an efficient optimization method called ‘Teaching–Learning-Based Optimization (TLBO) for synchronization of time-delay chaotic systems. The proposed method is based on the effect of the influence of a teacher on the output of learners in a class. The parameter estimation problem is formulated as an optimization problem using TLBO to minimize the synchronization fault for the observable states of the real system and its estimated model. The effectiveness of the method is tested on Time-delay logistic chaotic system, and the results are compared with other population based methods.

کلیدواژه ها:

Chaotic System ، Teaching–Learning-Based Optimization (TLBO) ، Parameter estimation ، Time-Delay ، Synchronization