Multi-weighted complex structure on fractional order coupled neural networks with linear coupling delay: a robust synchronization problem
Affiliation
Alagappa University, KaraikudiTexas A&M University
Southeast University, Nanjing, China
University of Derby
Issue Date
2020-02-19
Metadata
Show full item recordAbstract
This sequel is concerned with the analysis of robust synchronization for a multi-weighted complex structure on fractional-order coupled neural networks (MWCFCNNs) with linear coupling delays via state feedback controller. Firstly, by means of fractional order comparison principle, suitable Lyapunov method, Kronecker product technique, some famous inequality techniques about fractional order calculus and the basis of interval parameter method, two improved robust asymptotical synchronization analysis, both algebraic method and LMI method, respectively are established via state feedback controller. Secondly, when the parameter uncertainties are ignored, several synchronization criterion are also given to ensure the global asymptotical synchronization of considered MWCFCNNs. Moreover, two type of special cases for global asymptotical synchronization MWCFCNNs with and without linear coupling delays, respectively are investigated. Ultimately, the accuracy and feasibility of obtained synchronization criteria are supported by the given two numerical computer simulations.Citation
Pratap, A., Raja, R., Agarwal, R.P., Cao, J. and Bagdasar, O., (2020). 'Multi-weighted complex structure on fractional order coupled neural networks with linear coupling delay: a robust synchronization problem'. Neural Processing Letters, pp. 1-27.Publisher
Springer Science and Business Media LLCJournal
Neural Processing LettersDOI
10.1007/s11063-019-10188-5Additional Links
https://link.springer.com/article/10.1007/s11063-019-10188-5Type
ArticleLanguage
enISSN
1370-4621EISSN
1573-773Xae974a485f413a2113503eed53cd6c53
10.1007/s11063-019-10188-5