For reliable, efficient, rapid simulations of dynamical systems, a reduced order model
(ROM) with certified accuracy is highly desirable. The ROM is derived from a full
order model (FOM) through model reduction. In this work, we propose an adaptive approach
for nonlinear model reduction by making use of a suitable output error estimator,
thus enable the generation of a compact ROM, with appropriate balance between the
state and nonlinear approximations.