Stability Analysis for Stochastic Markovian Jump Reaction-Diffusion Neural Networks with Partially Known Transition Probabilities and Mixed Time Delays
The stability problem is proposed for a new class of stochastic Markovian jump reaction-diffusion neural networks with partial information on transition probability and mixed time delays. The new stability conditions are established in terms of linear matrix inequalities (LMIs). To reduce the conser...
Saved in:
| Main Authors: | Weiyuan Zhang, Junmin Li, Naizheng Shi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2012-01-01
|
| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2012/524187 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Robust Finite-Time H∞ Control for Nonlinear Markovian Jump Systems with Time Delay under Partially Known Transition Probabilities
by: Dong Yang, et al.
Published: (2014-01-01) -
Dynamical Behaviors of Impulsive Stochastic Reaction-Diffusion Neural Networks with Mixed Time Delays
by: Weiyuan Zhang, et al.
Published: (2012-01-01) -
Robust Stabilization of Stochastic Markovian Jump Systems with Distributed Delays
by: Guilei Chen, et al.
Published: (2021-01-01) -
Dynamic Event-Triggered Sliding Mode Control of Markov Jump Delayed System with Partially Known Transition Probabilities
by: Jie Lu, et al.
Published: (2025-02-01) -
Finite-Time Boundedness for a Class of Delayed Markovian Jumping Neural Networks with Partly Unknown Transition Probabilities
by: Li Liang
Published: (2014-01-01)