Development of a Measurement Complex with Intelligent Component
- 作者: Selezneva M.1, Neusypin K.1
-
隶属关系:
- Bauman Moscow State Technical University
- 期: 卷 59, 编号 9 (2016)
- 页面: 916-922
- 栏目: Measurements in Information Technologies
- URL: https://journals.rcsi.science/0543-1972/article/view/245489
- DOI: https://doi.org/10.1007/s11018-016-1067-1
- ID: 245489
如何引用文章
详细
A method of constructing a selective measurement complex with variable structure is investigated. A measurement complex with intelligent component consisting of algorithms for the construction of predictive models and the comparison of a prediction with the current result of measurements is developed for precision determination of the parameters of a dynamic object. The algorithmic support of the complex is constructed on the basis of the Anokhin theory of functional systems with the use of a scalar estimation algorithm, self-organization algorithm with trend back-up, and criterion expressed as the degree of observability of the state variables. Models with elevated degrees of observability of the state variables are used in the information processing algorithms.
作者简介
M. Selezneva
Bauman Moscow State Technical University
编辑信件的主要联系方式.
Email: m.s.selezneva@mail.ru
俄罗斯联邦, Moscow
K. Neusypin
Bauman Moscow State Technical University
Email: m.s.selezneva@mail.ru
俄罗斯联邦, Moscow