Parameter Estimation of Dynamic Chaotic System Using Advanced Differential Evolution Algorithm

Nguyễn Ngọc Sơn, Hồ Phạm Huy Ánh



DOI: 10.15625/vap.2015.0058

Abstract


This paper is aimed to exploring of the dynamic chaos system, namely Lorenz system, which exhibits typical chaotic dynamics, using advanced differential evolution (DE) approach. The main purpose is to apply the DE algorithm to solve the parameter estimation problem of the chaotic Lorenz system and solve additional problems which will be faced during this procedure. Hence proposed dynamical chaotic implementation with advanced DE technique described and tested will be taken into account for improving convergence properties of solution. Simulation results prove the performance of proposed advanced DE approach in parameter estimation of dynamic chaotic Lorenz system.



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