By Topic

A novel approach to Robust Fixed Point Transformations

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

6 Author(s)
Varkonyi, T.A. ; Doctoral Sch. of Appl. Inf., Obuda Univ., Budapest, Hungary ; Tar, J.K. ; Rudas, I.J. ; Preitl, S.
more authors

Nowadays in solving adaptive control problems Lyapunov's second method is generally involved. Although, the method is ingenious and very popular, recently alternative solutions have appeared which in many cases prove to be more advantageous and also effective. One of these methods is the family of Robust Fixed Point Transformations (RFPT) which can be used in several areas successfully. In this paper a novel variant of RFPT is introduced which reduces the range of the main function by half while keeps the result as effective as before. This statement is illustrated via simulations where two coupled Fitz-Hugh-Nagumo neurons are synchronized by the modified system.

Published in:

Computational Intelligence and Intelligent Informatics (ISCIII), 2011 5th International Symposium on

Date of Conference:

15-17 Sept. 2011