- International Journal of Engineering and Applied Sciences
- Vol: 8 Issue: 3
- The Control of Non-Linear Chaotic System Including Noise Using Genetic Based Algorithm
The Control of Non-Linear Chaotic System Including Noise Using Genetic Based Algorithm
Authors : Ercan Köse, Aydın Mühürcü
Pages : 49-57
Doi:10.24107/ijeas.255036
View : 9 | Download : 4
Publication Date : 2016-10-10
Article Type : Research
Abstract :In this study, the Lorenz chaotic system including the nonlinear equations has been analyzed against the noise changes. The discrete-time state feedback control method and discrete-time PI controller method have been used for these noisy system controls. Optimization of the controller parameters was performed using a genetic algorithm method. The study was implemented in MATLAB-Simulink simulation program. In terms of noise, the Gaussian white noise was used as a system and measurement noise. Noise has emerged as a significant impact on the Lorenz chaotic system. Changes associated with this condition are given in detail on the graphics. The discrete-time PI controller method was shown to better performance when compared to discrete-time state feedback control method for the system control. Furthermore, the error performance change was given in the literature as an important parameter.Keywords : Lorenz chaotic system, Gaussian white noise, Discrete-time PID controller, Discrete-time state feedback control