Improved stabilization for robust fixed point transformations-based controllers

Teréz A. Várkonyi, József K. Tar, Imre J. Rudas

Research output: Contribution to journalArticle

7 Citations (Scopus)


Nowadays, dynamical systems are getting increasingly complex because they have to fulfill more expectations and further they have to handle more and more uncertainties. The controllers built in these systems have to face with the same difficulties. Luckily, the applied new controllers are designed to take into account the grown claims and they are able to fit the extreme conditions. The method called Robust Fixed Point Transformations (RFPT) is used to ameliorate existing controllers' results when an approximate model is used to predict the dynamical system's behavior. To achieve the stability of RFPT many efforts have been taken in the recent past. In this paper, a new algorithm is proposed that prevents the occurrence of short temporal unstable periods of the RFPT-based controllers, i.e., ensures the continuous stability.

Original languageEnglish
Pages (from-to)418-424
Number of pages7
JournalJournal of Advanced Computational Intelligence and Intelligent Informatics
Issue number3
Publication statusPublished - May 2013



  • Adaptive control
  • Chaos synchronization
  • Nonlinear control
  • Robust fixed point transformations
  • Van der Pol oscillator

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

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