A computationally simple approximation to the minimum energy controller for a linear system is achieved by reducing the complexity of the mathematical model of the system. After specifying the criterion for identifying an optimal model of lower order, the required model boundary conditions are deduced. Controller performance is expressed as a scalar valued functional of the model coefficient matrices, and a computational algorithm is suggested for evaluating the best model. The suboptimal control is then expressed in terms of the derived model parameters.