
Separability-based selection of cost-effective control of multistep processes in limited time and money
Author(s) -
U Fayzullaev,
Sh.S. Tashmatova,
K Kurbanova
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2131/3/032110
Subject(s) - universality (dynamical systems) , computer science , nonlinear system , selection (genetic algorithm) , industrial engineering , control (management) , mathematical optimization , mathematics , artificial intelligence , engineering , physics , quantum mechanics
Modeling as a research method usually consists not in the preparation of proposals and the formation of technical requirements in the created sample, but at the stages of conceptual and technical design, in the development of product samples in systems using them, as well as in various tests. This article discusses optimal control of multi-step processes. Usually, in practice, the problem of constructing models of multistage processes, as a rule, is complicated by the universality, uncertainty and nonlinearity of the simulated objects, complete or partial lack of expert experience and analytical description of dependencies. Mathematical models describing chemical technology consider the partitioning of the state into discrete stages.