Informational Estimation of a Control Algorithm on the Knowledge of the Set of Plant States

A informational approach to estimation of the control algorithm using the knowledge of the plant state set. The concepts of $\varepsilon$-entropy and $\varepsilon$-capacity of functional spaces are used. The sequence of the study is given. The control algorithm is estimated in terms of the $\varepsilon$-entropy of the plant state set with the system accuracy specified.