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- Title
ALGORITHMS OF SUSTAINABLE ESTIMATION OF UNKNOWN INPUT SIGNALS IN CONTROL SYSTEMS.
- Authors
Yusupbekov, Nadirbek; Igamberdiev, Husan; Mamirov, Uktam
- Abstract
The problem of estimating unknown input effects in control systems based on the methods of the theory of optimal dynamic filtering and the principle of expansion of mathematical models is considered. Equations of dynamics and observations of an extended dynamical system are obtained. Algorithms for estimating input signals based on regularization and singular expansion methods are given. The above estimation algorithms provide a certain roughness of the filter parameters to various violations of the conditions of model problems, i.e. are not very sensitive to changes in the a priori data.
- Subjects
CONTROL theory (Engineering); SIGNAL reconstruction; ALGORITHMS; MATHEMATICAL models; MATHEMATICAL expansion; REGULARIZATION parameter; DYNAMICAL systems
- Publication
Journal of Automation, Mobile Robotics & Intelligent Systems, 2018, Vol 12, Issue 4, p83
- ISSN
1897-8649
- Publication type
Article
- DOI
10.14313/JAMRIS_4-2018/29