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Simple Noise Reduction in the Adaptive Synchronization of Coupled Neurons by Robust Fixed Point Transformation

CímSimple Noise Reduction in the Adaptive Synchronization of Coupled Neurons by Robust Fixed Point Transformation
Közlemény típusaConference Paper
Kiadás éve2011
Kiadás nyelveEnglish
DOI10.1109/INES.2011.5954762
Oldalszám297 - 302
SzerzőkVárkonyi, T. A., J. K. Tar, J. F. Bitó, and I. J. Rudas
Konferencia neve15th IEEE International Conference on Intelligent Engineering Systems (INES 2011)
Konferencia helyszínePoprad, Slovakia
ISBN-szám978-1-4244-8955-8
Összefoglalás

To avoid the general mathematical difficulties of the application of Lyapunov’s “direct” method in adaptive control in the present paper an alternative approach, the use of “Robust Fixed Point Transformation (RFPT)” is applied for the adaptive synchronization of two coupled, asymmetric, chaotically behaving, approximately known Fitz – Hugh – Nagumo (FHN) neurons. Since the RFPT scheme is based on the use of the “Expected – Realized Response Scheme” the noise in the observed quantities may influence the efficiency of the controller. For this purpose the use of a very simple, easily realizable technique is proposed that applies polynomial filtering coefficients in the time domain. Its efficiency is investigated and substantiated via extended simulation investigations.
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