This paper explores the asymptotic synchronization of drive-response Markovian jump Boolean networks (MJBNs) using an algebraic state space representation. For two switching signals, an augmented ...

This paper studies the feedback optimization problem for nonlinear systems. In particular, we assume that the controlled plant admits a global asymptotic stable equilibrium corresponding to each fixed ...

After these introductory chapters, the methods of uniform asymptotic analysis are described in which several parameters have influence on typical phenomena: turning points and transition points, ...

Abstract The asymptotic stability of two species stochastic Lotka-Volterra model is explored in this paper. Firstly, the Lotka-Volterra model with random parameter is built and reduced into the ...

Asymptotic theory, also known as large sample theory, is a framework in statistics used to study the behavior of estimators and statistical tests as the sample size approaches infinity.

Explore the asymptotic behavior of risk measures and their convergence to worst-case scenarios. Discover the relationship between risk contributions and portfolio performance. Find out how tail ...