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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
