Summary: | 碩士 === 中原大學 === 電機工程研究所 === 97 === This research proposes a brand new T-S fuzzy model-based approach to achieve syn-
chronization of complex coupled dynamical systems. The T-S fuzzy models are given to
exactly represent the complex coupled dynamical systems. Then the model-based fuzzy
synchronization design is carried out for each subsystem utilizing the concept of parallel
distributed compensation (PDC). We analyze the stability of the overall fuzzy synchro-
nization system by applying Lyapunov stability theory and derive stability conditions
by solving linear matrix inequalities (LMI) problem. The methodology has been applied
to both continuous-time and discrete-time complex networks, which consist of regular,
small-world, random, or scale-free networks. Three well-known examples, Chua's cir-
cuit and the driven pendulum for continuous-time and H enon map for discrete-time, are
considered as the coupled dynamical systems for the demonstration. Several numerical
simulations for the synchronization of these coupled dynamical systems illustrate the
e ectiveness of the proposed scheme. Finally, for complex networks with large nodes,
several interesting characteristics related to syntonization are revealed.
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