Title | ||
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Predictive control and synchronization of chaotic and hyperchaotic systems based on a T-S fuzzy model. |
Abstract | ||
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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. |
Year | DOI | Venue |
---|---|---|
2014 | 10.1016/j.matcom.2014.05.007 | Mathematics and Computers in Simulation |
Keywords | Field | DocType |
Chaotic systems,T–S fuzzy model,Chaos control,Chaos synchronization,Predictive control | Fuzzy model,Synchronization,Computer science,Control theory,Model predictive control,Fuzzy logic,Chaotic systems,Artificial intelligence,Chaotic | Journal |
Volume | ISSN | Citations |
105 | 0378-4754 | 1 |
PageRank | References | Authors |
0.35 | 5 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Abdelkader Senouci | 1 | 6 | 2.85 |
Abdelkrim Boukabou | 2 | 67 | 12.87 |