Methodology of information design of technical systems on the basis of vector optimization

ABSTRACT In work the methodology of information design of optimum parameters of technical systems depending on her characteristics is presented. The methodology is directed to solutions of problems of modeling of technical systems and optimal decision-making. The model of technical system is created in the form of a vector problem of mathematical programming. In such model we determine parameters of technical system at which technical characteristics (criteria) are optimum. We have presented technology of process of modeling of technical systems in the conditions of definiteness and uncertainty. At such technology creation of mathematical model of technical system is carried out in two stages. At first we build model in the conditions of definiteness (functional dependence of each characteristic and restrictions on parameters is known), and then in the conditions of uncertainty (there is no sufficient information on functional dependence of each characteristic on parameters). In the conditions of uncertainty the vector task is under construction with use of methods of the regression analysis. The solution of a vector task is based on normalization of criteria, the principle of the guaranteed result. The modeling methodology in the conditions of definiteness and uncertainty is illustrated on a numerical example of model of technical system, in the form of a vector problem of nonlinear programming with five criteria.