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Neural Computing and Applications
Published in: Neural Computing and Applications 11/2018

15-03-2017 | Original Article

Output synchronization control with input constraint of complex networks with reaction–diffusion terms

Authors: Chengyan Yang, Xiaodong Li, Jianlong Qiu

Published in: Neural Computing and Applications | Issue 11/2018

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Abstract

This paper addresses the problem for output synchronization of a class of complex networks (CNs) with reaction–diffusion terms and input constraint. Without considering input constraint, proportional–spatial derivative (P–sD) control of the CN is firstly studied, and then, the problem of output synchronization of CN is formulated as the feasibility problem of linear matrix inequalities (LMIs). Based on the obtained results, considering P–sD control with input constraint, output synchronization is then studied and formulated as the feasibility problem of LMIs and spatial algebraic linear matrix inequalities (SALMIs). In the end, numerical simulation shows the effectiveness of the proposed methods.
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Metadata
Title
Output synchronization control with input constraint of complex networks with reaction–diffusion terms
Authors
Chengyan Yang
Xiaodong Li
Jianlong Qiu
Publication date
15-03-2017
Publisher
Springer London
Published in
Neural Computing and Applications / Issue 11/2018
Print ISSN: 0941-0643
Electronic ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-017-2892-0

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