Stability of impulsive hopfield neural networks with Markovian switching and time-varying delays
Ramachandran Raja; Rathinasamy Sakthivel; Selvaraj Marshal Anthoni; Hyunsoo Kim
International Journal of Applied Mathematics and Computer Science (2011)
- Volume: 21, Issue: 1, page 127-135
- ISSN: 1641-876X
Access Full Article
topAbstract
topHow to cite
topRamachandran Raja, et al. "Stability of impulsive hopfield neural networks with Markovian switching and time-varying delays." International Journal of Applied Mathematics and Computer Science 21.1 (2011): 127-135. <http://eudml.org/doc/208028>.
@article{RamachandranRaja2011,
abstract = {The paper is concerned with stability analysis for a class of impulsive Hopfield neural networks with Markovian jumping parameters and time-varying delays. The jumping parameters considered here are generated from a continuous-time discrete-state homogenous Markov process. By employing a Lyapunov functional approach, new delay-dependent stochastic stability criteria are obtained in terms of linear matrix inequalities (LMIs). The proposed criteria can be easily checked by using some standard numerical packages such as the Matlab LMI Toolbox. A numerical example is provided to show that the proposed results significantly improve the allowable upper bounds of delays over some results existing in the literature.},
author = {Ramachandran Raja, Rathinasamy Sakthivel, Selvaraj Marshal Anthoni, Hyunsoo Kim},
journal = {International Journal of Applied Mathematics and Computer Science},
keywords = {Hopfield neural networks; Markovian jumping; stochastic stability; Lyapunov function; impulses},
language = {eng},
number = {1},
pages = {127-135},
title = {Stability of impulsive hopfield neural networks with Markovian switching and time-varying delays},
url = {http://eudml.org/doc/208028},
volume = {21},
year = {2011},
}
TY - JOUR
AU - Ramachandran Raja
AU - Rathinasamy Sakthivel
AU - Selvaraj Marshal Anthoni
AU - Hyunsoo Kim
TI - Stability of impulsive hopfield neural networks with Markovian switching and time-varying delays
JO - International Journal of Applied Mathematics and Computer Science
PY - 2011
VL - 21
IS - 1
SP - 127
EP - 135
AB - The paper is concerned with stability analysis for a class of impulsive Hopfield neural networks with Markovian jumping parameters and time-varying delays. The jumping parameters considered here are generated from a continuous-time discrete-state homogenous Markov process. By employing a Lyapunov functional approach, new delay-dependent stochastic stability criteria are obtained in terms of linear matrix inequalities (LMIs). The proposed criteria can be easily checked by using some standard numerical packages such as the Matlab LMI Toolbox. A numerical example is provided to show that the proposed results significantly improve the allowable upper bounds of delays over some results existing in the literature.
LA - eng
KW - Hopfield neural networks; Markovian jumping; stochastic stability; Lyapunov function; impulses
UR - http://eudml.org/doc/208028
ER -
References
top- Balasubramaniam, P., Lakshmanan, S. and Rakkiyappan, R. (2009). Delay-interval dependent robust stability criteria for stochastic neural networks with linear fractional uncertainties, Neurocomputing 72(16-18): 3675-3682.
- Balasubramaniam, P. and Rakkiyappan, R. (2009). Delaydependent robust stability analysis of uncertain stochastic neural networks with discrete interval and distributed timevarying delays, Neurocomputing 72(13-15): 3231-3237.
- Cichocki, A. and Unbehauen, R. (1993). Neural Networks for Optimization and Signal Processing, Wiley, Chichester. Zbl0824.68101
- Dong, M., Zhang, H. and Wang, Y. (2009). Dynamic analysis of impulsive stochastic Cohen-Grossberg neural networks with Markovian jumping and mixed time delays, Neurocomputing 72(7-9): 1999-2004.
- Gu, K., Kharitonov, V. and Chen, J. (2003). Stability of TimeDelay Systems, Birkhäuser, Boston, MA.
- Haykin, S. (1998). Neural Networks: A Comprehensive Foundation, Prentice Hall, Upper Saddle River, NJ. Zbl0828.68103
- Li, D., Yang, D., Wang, H., Zhang, X. and Wang, S. (2009). Asymptotic stability of multidelayed cellular neural networks with impulsive effects, Physica A 388(2-3): 218-224.
- Li, H., Chen, B., Zhou, Q. and Liz, C. (2008). Robust exponential stability for delayed uncertain hopfield neural networks with Markovian jumping parameters, Physica A 372(30): 4996-5003. Zbl1221.92006
- Liu, H., Zhao, L., Zhang, Z. and Ou, Y. (2009). Stochastic stability of Markovian jumping Hopfield neural networks with constant and distributed delays, Neurocomputing 72(16-18): 3669-3674.
- Lou, X. and Cui, B. (2009). Stochastic stability analysis for delayed neural networks of neutral type with Markovian jump parameters, Chaos, Solitons & Fractals 39(5): 2188-2197. Zbl1197.34104
- Mao, X. (2002). Exponential stability of stochastic delay interval systems with Markovian switching, IEEE Transactions on Automatic Control 47(10): 1604-1612.
- Rakkiyappan, R., Balasubramaniam, P. and Cao, J. (2010). Global exponential stability results for neutral-type impulsive neural networks, Nonlinear Analysis: Real World Applications 11(1): 122-130. Zbl1186.34101
- Shi, P., Boukas, E. and Shi, Y. (2003). On stochastic stabilization of discrete-time Markovian jump systems with delay in state, Stochastic Analysis and Applications 21(1): 935-951. Zbl1024.60029
- Singh, V. (2007). On global robust stability of interval Hopfield neural networks with delay, Chaos, Solitons & Fractals 33(4): 1183-1188. Zbl1151.34333
- Song, Q. and Zhang, J. (2008). Global exponential stability of impulsive Cohen-Grossberg neural network with timevarying delays, Nonlinear Analysis: Real World Applications 9(2): 500-510. Zbl1142.34046
- Song, Q. and Wang, Z. (2008). Stability analysis of impulsive stochastic Cohen-Grossberg neural networks with mixed time delays, Physica A 387(13): 3314-3326.
- Wang, Z., Liu, Y., Yu, L. and Liu, X. (2006). Exponential stability of delayed recurrent neural networks with Markovian jumping parameters, Physics Letters A 356(4-5): 346-352. Zbl1160.37439
- Yuan, C.G. and Lygeros, J. (2005). Stabilization of a class of stochastic differential equations with Markovian switching, Systems and Control Letters 54(9): 819-833. Zbl1129.93517
- Zhang, H. and Wang, Y. (2008). Stability analysis of Markovian jumping stochastic Cohen-Grossberg neural networks with mixed time delays, IEEE Transactions on Neural Networks 19(2): 366-370.
- Zhang, Y. and Sun, J.T. (2005). Stability of impulsive neural networks with time delays, Physics Letters A 348(1-2): 44-50. Zbl1195.93122
- Zhou, Q. and Wan, L. (2008). Exponential stability of stochastic delayed Hopfield neural networks, Applied Mathematics and Computation 199(1): 84-89. Zbl1144.34389
Citations in EuDML Documents
top- Qianhong Zhang, Lihui Yang, Daixi Liao, Existence and exponential stability of a periodic solution for fuzzy cellular neural networks with time-varying delays
- Yang Liu, Rongjiang Yang, Jianquan Lu, Bo Wu, Xiushan Cai, Stability analysis of high-order Hopfield-type neural networks based on a new impulsive differential inequality
- Qiaoling Chen, Zhidong Teng, Zengyun Hu, Bifurcation and control for a discrete-time prey-predator model with Holling-IV functional response
- Mai Viet Thuan, Vu Ngoc Phat, Hieu Trinh, Observer-based controller design of time-delay systems with an interval time-varying delay
NotesEmbed ?
topTo embed these notes on your page include the following JavaScript code on your page where you want the notes to appear.