Chaotic Synchronization Using Sampled-Data Fuzzy Controller Based on Fuzzy-Model-Based Approach

Chaotic Synchronization Using Sampled-Data Fuzzy Controller Based on Fuzzy-Model-Based Approach

This paper presents the synchronization of chaotic system using a sampled-data fuzzy controller. To carry out the system analysis, a fuzzy model is employed to represent the chaotic systems. Linear-matrix-inequality (LMI)-based system stability and performance conditions are derived using a Lyapunov...

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Veröffentlicht in:IEEE transactions on circuits and systems. I, Regular papers Regular papers, 2008-04, Vol.55 (3), p.883-892
Hauptverfasser: Lam, H.K., Seneviratne, L.D.
Format: Artikel
Sprache:eng
Schlagworte:
Adaptive control
Chaos
Chaos theory
Circuits
Control systems
Fuzzy
Fuzzy control
Fuzzy logic
Fuzzy set theory
Fuzzy systems
Nonlinear systems
Programmable control
sampled-data systems
Sampling methods
Stability
Synchronism
Synchronization
Uncertain systems
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Zusammenfassung:This paper presents the synchronization of chaotic system using a sampled-data fuzzy controller. To carry out the system analysis, a fuzzy model is employed to represent the chaotic systems. Linear-matrix-inequality (LMI)-based system stability and performance conditions are derived using a Lyapunov-based approach. The derived LMI-based stability and performance conditions are employed to aid the design of a stable and well-performing sampled-data fuzzy controller to achieve the synchronization of chaotic systems. An application example is given to illustrate the merits of the proposed approach.
ISSN:1549-8328
1558-0806
DOI:10.1109/TCSI.2008.916413