The Stochastic Synthesis of the Adaptive Filter for Estimating the Controlled Systems State Based on the Condition of Maximum of the Generalized Power Function
| Autor: | Sergey Lazarenko, Vitalii Aleksandrovich Losev, Andrey Kostoglotov, Anton Aleksandrovich Kuznetsov, Igor Vladimirovich Deryabkin |
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| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
020301 aerospace & aeronautics
Computer science Boundary problem 02 engineering and technology Filter (signal processing) Function (mathematics) State (functional analysis) 01 natural sciences 010305 fluids & plasmas Power (physics) Adaptive filter 0203 mechanical engineering Control theory lcsh:TA1-2040 0103 physical sciences Power function lcsh:Engineering (General). Civil engineering (General) Curse of dimensionality |
| Zdroj: | MATEC Web of Conferences, Vol 77, p 02008 (2016) |
| Popis: | The proposed procedure for the synthesis of the filter of the state estimation is based on a new mathematical model of the dynamic controlled system. It is based on the maximum condition of the function of the generalized power. The optimization boundary problem can be solved using the invariant embedding procedure. The result differs from the known ones as it has lower dimensionality, non-linear structure and provides a more accurate estimation. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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