Abstract | ||
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The paper describes prediction algorithms for continuous time functions that have continuous and bounded derivatives. The synthesis of algorithms are based on Lagrange mean value theorem and its generalization on variable steps. The transient time and error prediction for each algorithm are obtained. Simulation results show the efficiency of the proposed schemes. The proposed prediction algorithms can be applied as disturbance observer in presence of time-delay in measurements. |
Year | DOI | Venue |
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2019 | 10.1109/CoDIT.2019.8820421 | 2019 6TH INTERNATIONAL CONFERENCE ON CONTROL, DECISION AND INFORMATION TECHNOLOGIES (CODIT 2019) |
Field | DocType | ISSN |
Algorithm,Prediction algorithms,Observer (quantum physics),Mean value theorem,Mathematics,Bounded function | Conference | 2576-3555 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
I. B. Furtat | 1 | 18 | 12.65 |
Pavel A. Gushchin | 2 | 0 | 0.68 |
Artem N. Nekhoroshikh | 3 | 0 | 2.03 |
Sergey A. Vrazhevsky | 4 | 0 | 0.68 |
Mikhail S. Tarasov | 5 | 0 | 0.34 |
Julia V. Chugina | 6 | 0 | 0.68 |