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

Аннотация

Representing the basic concept of this paper, cognitive map is used to construct 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 transfer “quality” as the proximity of the resulting steady state to the desired state. And finally, an illustrative example is provided.