Results 21 to 30 of about 1,233,620 (143)

A Mean Square Stability Test for Markovian Jump Linear Systems

open access: yesTrends in Computational and Applied Mathematics, 2008
This paper proposes a test for the mean square stability problem for discrete-time linear systems subject to random jumps in the parameters, described by an underlying finite-state Markov chain.
C. Nespoli, J.B.R. do Val
doaj   +1 more source

Mean square exponential stability of stochastic delay cellular neural networks

open access: yesElectronic Journal of Qualitative Theory of Differential Equations, 2013
By constructing suitable Lyapunov functionals and combining with matrix inequality technique, a new simple sufficient condition is presented for the exponential stability of stochastic cellular neural networks with discrete delays. The condition contains
Yingxin Guo
doaj   +1 more source

Quantitative Mean Square Exponential Stability and Stabilization of Linear Itô Stochastic Markovian Jump Systems Driven by Both Brownian and Poisson Noises

open access: yesMathematics, 2022
In this paper, quantitative mean square exponential stability and stabilization of Itô-type linear stochastic Markovian jump systems with Brownian and Poisson noises are investigated.
Gaizhen Chang   +4 more
doaj   +1 more source

Almost sure exponential stabilisation of stochastic systems by state-feedback control [PDF]

open access: yes, 2008
So far, a major part of the literature on the stabilisation issues of stochastic systems has been dedicated to mean square stability. This paper develops a new class of criteria for designing a controller to stabilise a stochastic system almost surely ...
Hu, Liangjian, Mao, Xuerong
core   +1 more source

Mean Square Stability of Impulsive Stochastic Differential Systems

open access: yesInternational Journal of Differential Equations, 2011
Based on Lyapunov-Krasovskii functional method and stochastic analysis theory, we obtain some new delay-dependent criteria ensuring mean square stability of a class of impulsive stochastic equations.
Shujie Yang, Bao Shi, Mo Li
doaj   +1 more source

A Novel Family of Adaptive Filtering Algorithms Based on The Logarithmic Cost [PDF]

open access: yes, 2013
We introduce a novel family of adaptive filtering algorithms based on a relative logarithmic cost. The new family intrinsically combines the higher and lower order measures of the error into a single continuous update based on the error amount.
Kozat, Suleyman S.   +2 more
core   +2 more sources

Exponential stability of delayed recurrent neural networks with Markovian jumping parameters [PDF]

open access: yes, 2006
This is the post print version of the article. The official published version can be obtained from the link below - Copyright 2006 Elsevier Ltd.In this Letter, the global exponential stability analysis problem is considered for a class of recurrent ...
Bolle   +21 more
core   +1 more source

Stability of numerical method for semi-linear stochastic pantograph differential equations

open access: yesJournal of Inequalities and Applications, 2016
As a particular expression of stochastic delay differential equations, stochastic pantograph differential equations have been widely used in nonlinear dynamics, quantum mechanics, and electrodynamics.
Yu Zhang, Longsuo Li
doaj   +1 more source

Mean-Square Strong Stability and Stabilization of Discrete-Time Markov Jump Systems with Multiplicative Noises

open access: yesMathematics, 2022
In this paper, the mean-square strong stability and stabilization of discrete-time Markov jump systems are studied. Firstly, the definition of mean-square strong stability is given, and the necessary and sufficient conditions for mean-square strong ...
Zhiguo Yan, Fangxu Su
doaj   +1 more source

Distributed Local Linear Parameter Estimation using Gaussian SPAWN [PDF]

open access: yes, 2014
We consider the problem of estimating local sensor parameters, where the local parameters and sensor observations are related through linear stochastic models. Sensors exchange messages and cooperate with each other to estimate their own local parameters
Leng, Mei   +3 more
core   +1 more source

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