АДАПТИВНА ФІЛЬТРАЦІЯ ЗА НАЯВНОСТІ ОБМЕЖЕНЬ НА ПАРАМЕТРИ, ЩО ОЦІНЮЮТЬСЯ
The paper introduces a new procedure for solving parameter identification problem with constraints on estimated parameters based on analysis of statistical characteristics of suboptimal finite memory filter discrepancy. We introduce linear equality constraints on measurement noise average and analyz...
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| Date: | 2006 |
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| Main Authors: | , , |
| Format: | Article |
| Language: | Ukrainian |
| Published: |
V.M. Glushkov Institute of Cybernetics of NAS of Ukraine
2006
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| Online Access: | https://jais.net.ua/index.php/files/article/view/381 |
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| Journal Title: | Problems of Control and Informatics |
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Problems of Control and Informatics| Summary: | The paper introduces a new procedure for solving parameter identification problem with constraints on estimated parameters based on analysis of statistical characteristics of suboptimal finite memory filter discrepancy. We introduce linear equality constraints on measurement noise average and analyze accuracy of estimates obtained with and without these constraints. We also study the applicability of the proposed procedure to Sun heliograms analysis and show efficiency of such approach. |
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