DocumentCode :
1731803
Title :
Robust Fixed Point Transformations in Chaos synchronization
Author :
Várkonyi, Teréz A. ; Tar, József K. ; Rudas, Imre J.
Author_Institution :
Doctoral Sch. of Appl. Inf., Obuda Univ., Budapest, Hungary
fYear :
2010
Firstpage :
219
Lastpage :
224
Abstract :
Due to the technical difficulties related to the practical application of Lyapunov´s 2nd or “direct” method in the adaptive control of nonlinear systems as an alternative approach the use of “Robust Fixed Point Transformations (RFPT)” were suggested on the basis of recent researches. Various application possibilities were revealed for the new controller and design for imprecisely and partially modeled fully and underactuated Classical Mechanical Systems, Electromechanical Systems by direct utilization and within the frames if the “Model Reference Controllers (MRAC)”. In the present paper a novel application, the synchronization of coupled, chaotic systems is considered. It is shown that besides the “traditional” problem tackling normally based on the use of Lyapunov functions the RFPT based approach can be successful, too. This statement is illustrated via simulation results for the synchronization of the Fitz-Hugh-Nagumo (FHN) neuron model.
Keywords :
Lyapunov methods; chaos; model reference adaptive control systems; nonlinear control systems; synchronisation; Fitz-Hugh-Nagumo neuron model; Lyapunov functions; adaptive control; chaos synchronization; chaotic systems; classical mechanical systems; electromechanical systems; model reference controllers; nonlinear systems; robust fixed point transformation; Adaptation model; Adaptive control; Chaos; Neurons; Robots; Robustness; Synchronization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Informatics (CINTI), 2010 11th International Symposium on
Conference_Location :
Budapest
Print_ISBN :
978-1-4244-9279-4
Electronic_ISBN :
978-1-4244-9280-0
Type :
conf
DOI :
10.1109/CINTI.2010.5672246
Filename :
5672246
Link To Document :
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