We consider the quadratic optimal control of a discrete-time linear system with unknown parameters, The control action affects both the future behavior of the system and the precision of the future state and parameter estimates (dual effect), Using the information matrix, the posterior uncertainty on the parameters can be predicted, in order to design an actively adaptive control policy. The case of an autoregressive model is considered. Illustrative examples are presented, together with possible extensions and remaining open questions.