Nonstationary robust systems: A generalization of the class of control systems

Abstract

In this paper, robust mathematical models of real-life processes are discussed. Robustness testifies itself not only in the parametric uncertainty setup, but also because the parameters can be thought of as sufficiently arbitrary functions of the independent variables (so-called nonstationary robustness). Control systems can be considered as specific cases of this situation. Nonstationary robustness is studied for the Lotka-Volterra predator-prey model and its modification.