DocumentCode
1797656
Title
Exponential synchronization for a class of networked linear parabolic PDE systems via boundary control
Author
Jun-Wei Wang ; Cheng-Dong Yang ; Chang-Yin Sun
Author_Institution
Sch. of Autom. & Electr. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China
fYear
2014
fDate
6-11 July 2014
Firstpage
3981
Lastpage
3986
Abstract
This paper addresses the problem of exponential synchronization via boundary control for a class of networked linear spatiotemporal dynamical networks consisting of N identical nodes, in which the spatiotemporal behavior of the each node is described by parabolic partial differential equations (PDEs). The purpose of this paper is to design boundary controllers ensuring the exponential synchronization of the networked parabolic PDE system. To do this, Lyapunov´s direct method, the vector-valued Wirtinger´s inequality, and the technique of integration by parts are employed. A sufficient condition on the existence of the boundary controllers is developed in term of standard of linear matrix inequality (LMI). Finally, numerical simulation results on a numerical example are presented to illustrate the effectiveness of the proposed design method.
Keywords
Lyapunov methods; control system synthesis; linear matrix inequalities; linear systems; networked control systems; parabolic equations; partial differential equations; spatiotemporal phenomena; synchronisation; LMI; Lyapunov direct method; boundary controller design; exponential synchronization; identical nodes; linear matrix inequality; networked linear parabolic PDE systems; networked linear spatiotemporal dynamical networks; numerical simulation; parabolic partial differential equations; spatiotemporal behavior; vector-valued Wirtinger inequality; Design methodology; Educational institutions; Linear matrix inequalities; Spatiotemporal phenomena; Sufficient conditions; Symmetric matrices; Synchronization;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks (IJCNN), 2014 International Joint Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4799-6627-1
Type
conf
DOI
10.1109/IJCNN.2014.6889559
Filename
6889559
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