Application of Adaptive Neural Network Observer in Chaotic Systems
Автор: Milad Malekzadeh, Alireza Khosravi, Abolfazl Ranjbar Noei, Reza Ghaderi
Журнал: International Journal of Intelligent Systems and Applications(IJISA) @ijisa
Статья в выпуске: 2 vol.6, 2014 года.
Бесплатный доступ
Chaos control is an important subject in control theory. Chaos control usually confronts with some problems due to unavailability of states or losing the system characteristics during the modeling process. In this situation, using an appropriate observer in control strategy may overcome the problem. In this paper, states are estimated using an observer without having complete prior information from nonlinear term based on neural network. Simulation results verify performance of the proposed structure in estimating nonlinear term specifically for an online practical use.
Nonlinear Observer, Adaptive Neural Network, Chaos Control, Pendulum System, Modified Duffing System
Короткий адрес: https://sciup.org/15010526
IDR: 15010526
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