Skip to main content
science.uni-obuda.hu logo
  • Címlap
  • Szerzők
  • Kulcsszavak
Home » Publications

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

TitleSimple Noise Reduction in the Adaptive Synchronization of Coupled Neurons by Robust Fixed Point Transformation
Publication TypeConference Paper
Year of Publication2011
Publication LanguageEnglish
DOI10.1109/INES.2011.5954762
Pagination297 - 302
AuthorsVárkonyi, T. A., J. K. Tar, J. F. Bitó, and I. J. Rudas
Conference Name15th IEEE International Conference on Intelligent Engineering Systems (INES 2011)
Conference LocationPoprad, Slovakia
ISBN Number978-1-4244-8955-8
Abstract

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.

Who's online

There are currently 0 users and 114 guests online.