Title :
Adaptive synchronization of a class of chaotic time-delayed neural networks with uncertain parameters
Author_Institution :
Sch. of Aerosp. Eng. & Appl. Mech., Tongji Univ., Shanghai, China
Abstract :
In this letter, the problem of adaptive synchronization of a class of chaotic time-delayed neural networks with uncertain parameters is studied. Based on Lyapunov stability theory and the adaptive control theory, two different kinds of adaptive controllers are presented for different unknown parameters. Numerical simulations demonstrate the analytical results and show the efficiency of the both approaches.
Keywords :
Lyapunov methods; adaptive control; delay systems; neurocontrollers; nonlinear control systems; numerical analysis; synchronisation; uncertain systems; Lyapunov stability theory; adaptive control theory; adaptive synchronization; chaotic time-delayed neural network; numerical simulation; uncertain parameter; Adaptive control; Chaos; Chaotic communication; Delay effects; Differential equations; Evolution (biology); Lyapunov method; Neural networks; Neurons; Programmable control; adaptive control; chaos synchronization; neural networks; time delay;
Conference_Titel :
Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5263-7
Electronic_ISBN :
978-1-4244-5265-1
DOI :
10.1109/ICIME.2010.5477843
