In this report we study some different aspects of schemes for iterative identification and control design. By formulating the control objective as a criterion minimization task the problem of finding a model well suited for control appears to be closely related to a prediction error minimization problem in system identification. We discuss two ways of matching the control and identification criteria and evaluate their properties in simulations.