This article proposes a new state approximation technique for a class of nonlinear observable systems. The class considered consists of systems of nonlinear first-order differential equations having also a nonlinear measure equation. The approximation of the state function is transformed into an equivalent minimization problem. Thus, optimization algorithms can be applied to approximate the unknown state function. Finally, the performance of the proposed approximation algorithms is illustrated by a well known example.