DocumentCode
504139
Title
Synchronization of coupled dynamic systems using fuzzy design approach
Author
Huang, Kuo-En ; Lian, Kuang-Yow
Author_Institution
Dept. of Electr. Eng., Chung-Yuan Christian Univ., Chung-Li, Taiwan
fYear
2009
fDate
18-21 Aug. 2009
Firstpage
729
Lastpage
734
Abstract
This paper proposes a brand new T-S fuzzy model-based approach to achieve synchronization of coupled dynamical systems. The T-S fuzzy models are given to exactly represent the 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 synchronization system by applying Lyapunov stability theory and derive stability conditions by solving linear matrix inequalities (LMI) problem. The methodology proposed here can be applied to continuous-time and discrete-time dynamic systems. A well known example, the driven pendulum model is used for the demonstration. It is noted that the coupled pendulum system can be regarded as an important engineering application. Indeed it can simply represent a model of a robot arm or a robot foot. Several numerical simulations for the synchronization of coupled dynamical system illustrate the effectiveness of the proposed scheme.
Keywords
Lyapunov methods; continuous time systems; discrete time systems; distributed control; fuzzy control; linear matrix inequalities; nonlinear dynamical systems; stability; synchronisation; LMI problem; Lyapunov stability theory; T-S fuzzy model based approach; continuous time dynamic systems; coupled dynamic systems synchronization; discrete time dynamic system; driven pendulum model; fuzzy design approach; linear matrix inequality; parallel distributed compensation; robot arm model; robot foot model; Cells (biology); Couplings; Fuzzy systems; Linear matrix inequalities; Lyapunov method; Mathematical model; Nonlinear systems; Numerical simulation; Robots; Stability analysis; Synchronization; Takagi-Sugeno(T-S Fuzzy Model); coupled dynamical system; linear matrix inequalities (LMI);
fLanguage
English
Publisher
ieee
Conference_Titel
ICCAS-SICE, 2009
Conference_Location
Fukuoka
Print_ISBN
978-4-907764-34-0
Electronic_ISBN
978-4-907764-33-3
Type
conf
Filename
5332448
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