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

Abdelkader Senouci and Abdelkrim Boukabou

Mathematics and Computers in Simulation (MATCOM), 2014, vol. 105, issue C, 62-78

Abstract: 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.

Keywords: Chaotic systems; T–S fuzzy model; Chaos control; Chaos synchronization; Predictive control (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (7)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:105:y:2014:i:c:p:62-78

DOI: 10.1016/j.matcom.2014.05.007

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