Fast model order reduction via nonlinear optimization

This paper proposes a fast Galerkin projection method for model order reduction of large-scale dynamic systems. We first define a novel dynamic optimization problem in which the projection modes are chosen to minimize the difference between the output from the original model and the output from the Galerkin reduced model. Next, we approximate this dynamic… CONTINUE READING