Finite-time boundedness and stabilization of uncertain switched neural networks with time-varying delay. (September 2015)

• Record Type: Journal Article
• Authors: Wu, Yuanyuan; Cao, Jinde; Alofi, Abdulaziz; AL-Mazrooei, Abdullah; Elaiw, Ahmed
• Is Part Of: Neural networks. Volume 69(2015:Sep.)
• Page Start: 135
• Page End: 143
• Publication Date: 2015-09
• Subjects: Finite-time boundedness -- Switched neural networks -- Time-varying delay -- Lyapunov-like function -- Average dwell time; Neural computers -- Periodicals; Neural networks (Computer science) -- Periodicals; Neural networks (Neurobiology) -- Periodicals; Nervous System -- Periodicals; Ordinateurs neuronaux -- Périodiques; Réseaux neuronaux (Informatique) -- Périodiques; Réseaux neuronaux (Neurobiologie) -- Périodiques; Neural computers; Neural networks (Computer science); Neural networks (Neurobiology); Periodicals; 006.32
• DOI: 10.1016/j.neunet.2015.05.006
• Languages: English
• ISSNs: 0893-6080

Abstract

Abstract: This paper deals with the finite-time boundedness and stabilization problem for a class of switched neural networks with time-varying delay and parametric uncertainties. Based on Lyapunov-like function method and average dwell time technique, some sufficient conditions are derived to guarantee the finite-time boundedness of considered uncertain switched neural networks. Furthermore, the state feedback controller is designed to solve the finite-time stabilization problem. Moreover, the proposed sufficient conditions can be simplified into the form of linear matrix equalities for conveniently using Matlab LMI toolbox. Finally, two numerical examples are given to show the effectiveness of the main results.