Synchronization of Chaotic Systems with Unknown Parameters Using Predictive Fuzzy PID Control

Autor:	Noura Mansouri, Zakaria Driss
Rok vydání:	2016
Předmět:	Fuzzy pid control Optimization problem Control theory Computer science Chaotic systems Synchronization (computer science) sort Function (mathematics) Fuzzy logic
Zdroj:	Studies in Computational Intelligence ISBN: 9783319485041 IJCCI (Selected Papers)
DOI:	10.1007/978-3-319-48506-5_12
Popis:	In this paper, we consider the synchronization of uncertain chaotic systems using predictive fuzzy PID control. The main aim of the study is to show the role of prediction terms as a function of the sort of the controller used to solve the optimization problem. Therefore, two controllers, fuzzy PI+D and fuzzy PD+I controllers, are used in order to compare their abilities concerning the synchronization of chaotic systems in presence and absence of the prediction terms. This survey reveals that the role of the prediction terms depends on the type of the controller used to optimize the cost function. In the case of the fuzzy PD+I controller, the prediction terms seem to be very useful; on the other hand, in the case of the fuzzy PI+D, they restrict the ability of the controller, which leads to reduce its accuracy. Synchronization of two uncertain Lorenz systems is used to show the differences between the two cases.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::71ebdc5635379df711e16bef74abc0b0 https://doi.org/10.1007/978-3-319-48506-5_12 Zobrazit plný text záznamu