Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6901911 | Procedia Computer Science | 2017 | 7 Pages |
Abstract
The suggested fuzzy identification method affords to evaluate the parameters of uncertainty dynamic and non-stable object with sufficient precision in any short term. One of the main benefits of the proposed method is that it lets to perform parametricallly identification while state variables of n-th order object are not measured and gives opportunity to create adaptive control systems.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
S.M. Jafarov, A.M. Mustafayeva,