Robust Fixed Point Transformations-based control of chaotic systems

Teréz A. Várkonyi, J. Tar, I. Rudas

Research output: Article

Abstract

Nowadays, nonlinear control is a very important task because machines are playing an ever increasing role in life. Lyapunov's 2nd method is a popular tool by the use of which various controllers can be designed like adaptive neural networks, fuzzy controllers, and neuro-fuzzy solutions, or the sliding mode controllers and the well-known PID feedback controllers. Robust Fixed Point Transformation is a procedure which can be built for almost any type of controller in case an approximate model is used to estimate the controlled system's behavior. In this paper, a new approach to Robust Fixed Point Transformations (RFPT) is introduced by integrating a second controller in the system. Authors show that this additional, "recalculated" controller not just improves the original controller's results, but halves the tracking errors achieved by the previous RFPT methods.

Original languageEnglish
Pages (from-to)487-507
Number of pages21
JournalComputing and Informatics
Volume32
Issue number3
Publication statusPublished - 2013

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Chaotic systems
Controllers
Lyapunov methods
Fuzzy neural networks
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ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Networks and Communications
  • Computational Theory and Mathematics
  • Software

Cite this

Robust Fixed Point Transformations-based control of chaotic systems. / Várkonyi, Teréz A.; Tar, J.; Rudas, I.

In: Computing and Informatics, Vol. 32, No. 3, 2013, p. 487-507.

Research output: Article

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