Uncertain Variables as a Tool for Design of Uncertain Control Systems

The paper is concerned with closed-loop control systems with unknown parameters which are assumed to be values of uncertain variables described by certainty distributions given by an expert. The non-parametric optimization problem and three versions of the parametric optimization problem based on the uncertain variables are described. Analogies with optimization problems based on random variables are indicated. Simple examples illustrate the presented approach.