Predictive control and synchronization of chaotic and hyperchaotic systems based on a T–S fuzzy model

This paper presents fuzzy model-based design for control and synchronization of chaotic systems. In this framework, the chaotic systems are exactly reproduced based on a Takagi–Sugeno (T–S) fuzzy model. Then the fuzzy controllers for control and synchronization are designed using the predictive method and some new and useful criteria are derived. Finally, numerical simulations are presented to illustrate the effectiveness and feasibility of the theoretical results.

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Year of publication:	2014
Authors:	Senouci, Abdelkader ; Boukabou, Abdelkrim
Published in:	Mathematics and Computers in Simulation (MATCOM). - Elsevier, ISSN 0378-4754. - Vol. 105.2014, C, p. 62-78
Publisher:	Elsevier
Subject:	Chaotic systems \| T–S fuzzy model \| Chaos control \| Chaos synchronization \| Predictive control

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10010906720