Models for physical systems often take the form of implicit or behavioral models. One important problem is the
identification of which combinations of variables are good candidtates for control variables. This paper first provides one
solution to this problem for linear time varying systems. The solution is shown to be related to a general optimization
problem. It is then shown how these same algorithms can be extended to a large and important class of nonlinear systems.