Improved Stabilization for Robust Fixed Point Transformations-Based Controllers
Teréz A. Várkonyi*,**, József K. Tar***, and Imre J. Rudas***
*Doctoral School of Applied Informatics, John von Neumann Faculty of Informatics, Óbuda University, 96/B Bécsi út, Budapest H-1034, Hungary
**Doctoral School of Computer Science, Department of Computer Science, Universitá degli Studi di Milano, Crema Campus, 65 Via Bramante, Crema (CR) I-26013, Italy
***Institute of Intelligent Engineering Systems, John von Neumann Faculty of Informatics, Óbuda University, 96/B Bécsi út, Budapest H-1034, Hungary
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.
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