- Full text PDF available (1)
- This year (1)
- Last 5 years (12)
- Last 10 years (22)
Journals and Conferences
New criterion and method for design of experiments for two types of tasks of creation of decision support interval model are described. The first type is the tasks of control of permissible values of characteristics of technical, economic, ecological and other static systems. Second type of tasks - it is the tasks of choice of optimum decisions by the… (More)
In this paper the new method of tolerance estimation of parameters set of interval model "input-output" of the static system is created, which allows to base configuration of parameters set, provides greater coverage of domain of parameters of interval model and at the same time differs low calculable complication.
The task of identification of "input-output" model of dynamic system on the basis of interval approach is considered. The algorithm of tolerance identification of the parameters of "input-output" model of dynamic system inform of their intervals is proposed.
The method of tolerance ellipsoidal estimation on the basis of method of the guaranteed estimation of parameters set of "input-output" models is offered.
Water is a big influence on soil properties. That is why the problem arises in a mathematical model for prediction of this property on the soil. This paper describes the interval model for the prediction soil moisture based on interval difference operator.
Using historical data the identification of non -autonomous interval discrete dynamic model of realization bakery production is realized. The cyclic periodic of this model is researched.
The results of computer simulation of social and ecological factors influence on the social-ecological damage are represented in the papers.
The main problems of application the genetic algorithms for structure identification of interval difference operator associated with setting its parameters are shown.
The problem of evaluation of the states of control object are analyzed. The objective of this work is to analyze possibilities of application of the developed methods of parametrical identification of interval models of the static systems for the estimation of vector of parameters of the state of one class of the dynamic systems.
The task of processes' identification and modelling in the systems with limiting factors. The new unified model identification method is introduced for the broad class of such systems. The efficiency of such method in regards to time expenses is proved on the glucose concentration model.