Construction of lyapunov functionals for stochastic hereditary systems: a survey of some recent results

By V. Kolmanovskii, Leonid E. Shaikhet. 2002

69 citations recorded by the source corpus.

Subfields: Applied Mathematics, Control and Systems Engineering, Geometry and Topology

View Paper: https://www.semanticscholar.org/paper/da414014334634784d2132b55231c27064ec9833

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Applied Mathematics

1. Tomás Caraballo
2. José Real
3. Leonid E. Shaikhet
4. Pedro Marín-Rubio
5. Linfang Liu
6. Xiaoying Han
7. Bixiang Wang
8. Marco Romito

In Control and Systems Engineering

1. Tomás Caraballo
2. José Real
3. Leonid E. Shaikhet
4. Pedro Marín-Rubio
5. Xiaoying Han
6. Linfang Liu
7. Bixiang Wang
8. María J. Garrido-Atienza

In Geometry and Topology

1. Tomás Caraballo
2. José Real
3. Leonid E. Shaikhet

Citations in the corpus

• Stochastic persistence and stationary distribution in a Holling–Tanner type prey–predator model (2012, background): “The available stochastic formalisms can be divided into two broad classes, one of them is known as discrete or continuous time Markov Chain modeling (see [45–50]) and other is the noise added systems [28, 51–65].”
• Method of Lyapunov functionals construction in stability of delay evolution equations (2007, methodology): “Shaikhet and successfully used already for functional-differential equations, for difference equations with discrete time and for difference equations with continuous time [16-18,20-24,31-36].”