Title :
Synchronizing Uncertain Chaotic Systems with Neural Network Compensation
Author :
Sun, Chun-Xiang ; Kong, Hai-Tao ; Liu, Heng
Author_Institution :
Sch. of Math. & Comput. Sci., Huainan Normal Univ., Huainan, China
Abstract :
This paper investigates the control problem of synchronize uncertain nonlinear systems by means of adaptive neural network control. A robust adaptive observer based response system is constructed to synchronize a given chaotic system with uncertainties. The underlying parameter adaptation design as well as stability analysis are carried out using Lyapunov based approach. Numerical simulations are done to show the effectiveness of the proposed method.
Keywords :
Lyapunov methods; adaptive control; chaos; compensation; neurocontrollers; nonlinear control systems; numerical analysis; observers; robust control; synchronisation; uncertain systems; Lyapunov based approach; adaptive neural network control; control problem; neural network compensation; numerical simulations; parameter adaptation design; robust adaptive observer based response system; stability analysis; uncertain chaotic system synchronization; uncertain nonlinear system synchronization; Adaptive systems; Biological neural networks; Chaotic communication; Observers; Synchronization; chaotic systems; neural network; strictly positive real;
Conference_Titel :
Computer Science & Service System (CSSS), 2012 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-0721-5
DOI :
10.1109/CSSS.2012.492
