Goal-oriented state control of cognitive linear model with bounded state space

The cognitive map, being the basic concept for this paper, is used to build a cognitive linear dynamic model with a bounded state space. We consider the problem of transferring this model from an arbitrary initial state to some asymptotically stable state belonging to a neighborhood of a given state. We suggest two classes of controls and introduce the “quality” of a transfer as proximity of the resulting steady state to the desired state. At the end, we propose an illustrative example.