𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Stochastic finite-time boundedness of Markovian jumping neural network with uncertain transition probabilities

✍ Scribed by Shuping He; Fei Liu

Publisher
Elsevier Science
Year
2011
Tongue
English
Weight
216 KB
Volume
35
Category
Article
ISSN
0307-904X

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

Stability of stochastic Markovian jump n
Stability of stochastic Markovian jump neural networks with mode-dependent delays
✍ Qian Ma; Shengyuan Xu; Yun Zou; Jinjun Lu πŸ“‚ Article πŸ“… 2011 πŸ› Elsevier Science 🌐 English βš– 247 KB

In this paper, the problem of stability analysis for a general class of uncertain stochastic neural networks with Markovian jumping parameters and mixed mode-dependent delays is considered. By the use of a new Markovian switching Lyapunov-Krasovskii functional, delay-dependent conditions on mean squ

Stochastic stability and guaranteed cost
Stochastic stability and guaranteed cost control of discrete-time uncertain systems with Markovian jumping parameters
✍ El-KΓ©bir Boukas; Peng Shi πŸ“‚ Article πŸ“… 1998 πŸ› John Wiley and Sons 🌐 English βš– 126 KB πŸ‘ 2 views

In this paper, we first study the problems of robust quadratic mean-square stability and stabilization for a class of uncertain discrete-time linear systems with both Markovian jumping parameters and Frobenius norm-bounded parametric uncertainities. Necessary and sufficient conditions for the above

Stochastic stability for Markovian jump
Stochastic stability for Markovian jump linear systems associated with a finite number of jump times
✍ JoΓ£o B.R. do Val; Cristiane Nespoli; Yusef R.Z. CΓ‘ceres πŸ“‚ Article πŸ“… 2003 πŸ› Elsevier Science 🌐 English βš– 143 KB

This paper deals with a stochastic stability concept for discrete-time Markovian jump linear systems. The random jump parameter is associated to changes between the system operation modes due to failures or repairs, which can be well described by an underlying finite-state Markov chain. In the model

An LMI approach to stability analysis of
An LMI approach to stability analysis of stochastic high-order Markovian jumping neural networks with mixed time delays
✍ Yurong Liu; Zidong Wang; Xiaohui Liu πŸ“‚ Article πŸ“… 2008 πŸ› Elsevier 🌐 English βš– 268 KB

This paper deals with the problem of global exponential stability for a general class of stochastic high-order neural networks with mixed time delays and Markovian jumping parameters. The mixed time delays under consideration comprise both discrete time-varying delays and distributed time-delays. Th