AI RESEARCH

Lotka-Sharpe Neural Operators for Control of Population PDEs

arXiv CS.LG

ArXi:2604.03892v1 Announce Type: cross Age-structured predator-prey integro-partial differential equations provide models of interacting populations in ecology, epidemiology, and biotechnology. A key challenge in feedback design for these systems is the scalar $\zeta$, defined implicitly by the Lotka-Sharpe nonlinear integral condition, as a mapping from fertility and mortality rates to $\zeta