|
Control in Technology and Process Control
Models of a technology of complex activity control
M. V. Belova, D. A. Novikovb a IBS Company
b V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences, Moscow
Abstract:
The article continues the study of technology of complex activities [8]. The set of tasks of managing the development and mastering of new technologies of complex activity is considered. The problem of choosing standard solutions has been set and solved. In the framework of this task, it was shown that a uniform partition of the set of possible states of nature is “asymptotically” optimal from the point of view of minimizing the expected error, costs or / and entropy, and also maximizing the expected value of the level of learning and / or utility. For the tasks of resource distribution in aggregated technological networks, simple analytical algorithms for optimal resource allocation are proposed. The tasks of choosing the optimal strategy for switching from technology development to its productive use have been set and solved. For the case of a priori known nature characteristics, an optimal strategy was obtained and its properties were analytically investigated. For the case of unknown characteristics, a procedure is proposed that is optimal in the class of successive likelihood ratio rules. The results of simulation and analysis of approximations of the properties of the procedure are presented.
Keywords:
learning, learning curve, technology, complex activity, control.
Received: July 29, 2018 Published: March 31, 2019
Citation:
M. V. Belov, D. A. Novikov, “Models of a technology of complex activity control”, UBS, 78 (2019), 174–220
Linking options:
https://www.mathnet.ru/eng/ubs997 https://www.mathnet.ru/eng/ubs/v78/p174
|
Statistics & downloads: |
Abstract page: | 187 | Full-text PDF : | 65 | References: | 35 |
|