Title :
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
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;
Conference_Titel :
Computational Intelligence and Security (CIS), 2012 Eighth International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4673-4725-9
DOI :
10.1109/CIS.2012.65
