Projective Synchronization Control of Delayed Recurrent Neural Networks with Markovian Jumping Parameters

Author

Siming Ma ; Wuneng Zhou ; Shicao Luo ; Rui Chen

Author_Institution

Coll. of Inf. Sci. & Technol., Donghua Univ., Shanghai, China

fYear

2012

fDate

17-18 Nov. 2012

Firstpage

262

Lastpage

266

Abstract

This letter focuses on the projective synchronization control of delayed recurrent neural networks with Markovian jumping parameters. The jumping parameters are modeled as continuous-time finite-state Markov chain. Based on the Lyapunov functional method and linear matrix inequality (LMI) approach, a novel control method is given. Simulations with matlab verify the effectiveness of the methods.

Keywords

Lyapunov methods; Markov processes; continuous time systems; delays; linear matrix inequalities; neurocontrollers; recurrent neural nets; synchronisation; LMI; Lyapunov functional method; Markovian jumping parameters; Matlab; continuous-time finite-state Markov chain; delayed recurrent neural networks; linear matrix inequality; projective synchronization control; Artificial neural networks; Linear matrix inequalities; Recurrent neural networks; Stability analysis; Synchronization; Vectors; Delayed recurrent neural networks; Linear matrix inequality; Markovian jumping; Projective synchronization;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Security (CIS), 2012 Eighth International Conference on

Conference_Location

Guangzhou

Print_ISBN

978-1-4673-4725-9

Type

conf

DOI

10.1109/CIS.2012.65

Filename

6405910