Stochastic Stability

Applied Mathematical Sciences - Theory and Applications of Stochastic Processes ◽

10.1007/978-1-4419-1605-1_11 ◽

2009 ◽

pp. 399-441

Author(s):

Zeev Schuss

Keyword(s):

Stochastic Stability

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Stochastic stability of a neural model for binocular rivalry

IEICE Proceeding Series ◽

10.15248/proc.1.739 ◽

2014 ◽

Vol 1 ◽

pp. 739-742

Author(s):

Tetsuya Shimokawa ◽

Kenji Leibnitz ◽

Ferdinand Peper

Keyword(s):

Binocular Rivalry ◽

Stochastic Stability ◽

Neural Model

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Stochastic Stability in the Large Population and Small Mutation Limits for General Normal Form Games

SSRN Electronic Journal ◽

10.2139/ssrn.2825862 ◽

2016 ◽

Author(s):

Ryoji Sawa

Keyword(s):

Normal Form ◽

Stochastic Stability ◽

Large Population ◽

Normal Form Games

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A Hierarchical Approach For The Stochastic Stability Analysis Of Evolutionary Dynamics

2020 59th IEEE Conference on Decision and Control (CDC) ◽

10.1109/cdc42340.2020.9304218 ◽

2020 ◽

Author(s):

Hassan Jaleel ◽

Jeff S. Shamma

Keyword(s):

Stability Analysis ◽

Stochastic Stability ◽

Evolutionary Dynamics ◽

Hierarchical Approach ◽

Stochastic Stability Analysis

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Local stochastic stability of SIRS models without Lyapunov functions

Communications in Nonlinear Science and Numerical Simulation ◽

10.1016/j.cnsns.2021.105956 ◽

2021 ◽

pp. 105956

Author(s):

A. Tocino ◽

A. Martín del Rey

Keyword(s):

Stochastic Stability ◽

Lyapunov Functions

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Stochastic stability of positive Markov jump linear systems with fixed dwell time

Nonlinear Analysis Hybrid Systems ◽

10.1016/j.nahs.2021.101014 ◽

2021 ◽

Vol 40 ◽

pp. 101014

Author(s):

Jie Lian ◽

Renke Wang

Keyword(s):

Linear Systems ◽

Stochastic Stability ◽

Dwell Time ◽

Markov Jump ◽

Jump Linear Systems ◽

Markov Jump Linear Systems

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Stochastic stability and its application to the analysis of gene regulatory networks

2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601) ◽

10.1109/cdc.2004.1428924 ◽

2004 ◽

Cited By ~ 4

Author(s):

H. El Samad ◽

M. Khammash

Keyword(s):

Gene Regulatory Networks ◽

Stochastic Stability ◽

Regulatory Networks ◽

Gene Regulatory

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Moment Lyapunov exponent and stochastic stability of binary airfoil under combined harmonic and Gaussian white noise excitation

Nonlinear Dynamics ◽

10.1007/s11071-017-3470-9 ◽

2017 ◽

Vol 89 (1) ◽

pp. 539-552 ◽

Cited By ~ 5

Author(s):

D. L. Hu ◽

X. B. Liu ◽

W. Chen

Keyword(s):

Lyapunov Exponent ◽

White Noise ◽

Stochastic Stability ◽

Gaussian White Noise ◽

White Noise Excitation ◽

Moment Lyapunov Exponent

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Stochastic stability for a class of systems with multiplicative state noise

IEEE Transactions on Automatic Control ◽

10.1109/tac.1979.1102014 ◽

1979 ◽

Vol 24 (2) ◽

pp. 333-335 ◽

Cited By ~ 4

Author(s):

G. Wise ◽

S. Marcus

Keyword(s):

Stochastic Stability

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Stochastic Stability, Estimation and Control in Systems Driven by Jump-Diffusion Disturbances and Their Automotive Applications

Proceedings of the 45th IEEE Conference on Decision and Control ◽

10.1109/cdc.2006.377122 ◽

2006 ◽

Cited By ~ 3

Author(s):

I.V. Kolmanovsky ◽

T.L. Maizenberg

Keyword(s):

Stochastic Stability ◽

Jump Diffusion ◽

Automotive Applications ◽

Stability Estimation ◽

Estimation And Control ◽

And Control

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The Mean Stability Criteria in terms of Two Measures for Stochastic Differential Equations with Coefficient’s Uncertainty

Mathematical Problems in Engineering ◽

10.1155/2015/348235 ◽

2015 ◽

Vol 2015 ◽

pp. 1-7

Author(s):

Rui Zhang ◽

Yinjing Guo ◽

Xiangrong Wang ◽

Xueqing Zhang

Keyword(s):

Optimal Control ◽

Differential Equations ◽

Stochastic Differential Equations ◽

Stochastic Stability ◽

Stochastic Systems ◽

Stability Criteria ◽

Two Measures ◽

The Mean ◽

The Stability

This paper extends the stochastic stability criteria of two measures to the mean stability and proves the stability criteria for a kind of stochastic Itô’s systems. Moreover, by applying optimal control approaches, the mean stability criteria in terms of two measures are also obtained for the stochastic systems with coefficient’s uncertainty.

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