Synthesis of adaptive tracking systems based on the hypothesis of stationarity of the Hamiltonian on the switching hypersurface
Autor: | Andrey Kostoglotov, Sergey Valeryevich Lazarenko |
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Rok vydání: | 2017 |
Předmět: |
Hamiltonian mechanics
Radiation Computational complexity theory ComputerApplications_COMPUTERSINOTHERSYSTEMS 02 engineering and technology Kalman filter Function (mathematics) Condensed Matter Physics Tracking (particle physics) 01 natural sciences Electronic Optical and Magnetic Materials 010309 optics symbols.namesake Maximum principle Hypersurface Control theory 0103 physical sciences 0202 electrical engineering electronic engineering information engineering symbols 020201 artificial intelligence & image processing Electrical and Electronic Engineering Hamiltonian (control theory) Mathematics |
Zdroj: | Journal of Communications Technology and Electronics. 62:123-127 |
ISSN: | 1555-6557 1064-2269 |
DOI: | 10.1134/s1064226917020061 |
Popis: | Application of the method of the combined maximum principle to the synthesis of filters for tracking maneuvering aircrafts is demonstrated. The derived estimation equations are determined to within the synthesizing function. In constructing this function, the condition of stationarity of the Hamiltonian function on the switching hypersurface is used, which ensures adaptation to the observed motion. A tracking algorithm characterized by a lower, as compared to the Kalman filter, computational complexity and higher estimation accuracy during aircraft maneuvering has been synthesized. |
Databáze: | OpenAIRE |
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