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Delay‐dependent criteria for general decay synchronization of discontinuous fuzzy neutral‐type neural networks with time‐varying delays
Author(s) -
Kong Fanchao,
Sakthivel Rathinasamy
Publication year - 2020
Publication title -
international journal of robust and nonlinear control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.361
H-Index - 106
eISSN - 1099-1239
pISSN - 1049-8923
DOI - 10.1002/rnc.5000
Subject(s) - synchronization (alternating current) , correctness , artificial neural network , control theory (sociology) , differential inclusion , type (biology) , fuzzy logic , controller (irrigation) , nonlinear system , computer science , mathematics , control (management) , mathematical optimization , topology (electrical circuits) , algorithm , artificial intelligence , physics , ecology , combinatorics , quantum mechanics , agronomy , biology
Summary This paper aims to investigate the general decay synchronization analysis of discontinuous fuzzy neutral‐type neural networks. Under the framework of Filippov solutions, based on functional differential inclusions theory, inequality technique and by constructing a modified delay‐dependent Lyapunov‐Krasovskii functional, some new delay‐dependent criteria are provided to guarantee the general decay synchronization via the effective nonlinear feedback controller. The neural network model considered is more generalized, some previous fuzzy neural networks can be regard as the special cases. Moreover, some recent results on the delay‐independent criteria ensuring the general decay synchronization can also be extended and concluded. These can be seen from the given corollaries and remarks which are provided to make the comparisons and show the advantages. Finally, some numerical examples and simulations are provided to illustrate the correctness.