Abstract. In this article, the problem of determining the state of technological processes in the presence of external disturbances is studied using simple linear differential equations or transfer functions. The class of technical objects and systems that allow this type of mathematical models includes a very wide and diverse set of systems. Control elements, monitors, measuring sensors, information processing, storage and transmission systems, systems with concentrated and distributed parameters, mechanical, hydraulic, electrical, electronic devices, etc. The proposed algorithms are proposed for diagnosis of subsystems in dynamic control systems of production, as well as for detection and diagnosis of problems in dynamic systems using a Kalman-type filter update sequence. In this regard, the development of dynamic systems diagnostics and optimization algorithms and their software is analyzed.
| Mualliflar | Хасанова, Махинур, Хасанова, Махинур, Йулдошева, Дилфуза, Бурхонова , Малохат |
|---|---|
| Jurnal | Al-Farg'oniy avlodlari |
| Nashr sanasi | 2024-03-25 |
| Jild | 1 |
| Son | 1 |
| Betlar | 62-68 |
| Til | Rus |
Key words: automatic control system, diagnostics, Kalman filter, stochastic model, phase vector, covariance matrices, Gaussian sequences, matrix., avtomatik boshqaruv tizimi, diagnostika, Kalman filtri, Kalit so‘zlar: avtomatik boshqaruv tizimi, diagnostika, Kalman filtri, stoxastik model, faza vektori, kovaryans matritsalari, Gauss ketma-ketliklari, matritsa., faza vektori, kovaryans matritsalari, Gauss ketma-ketliklari, matritsa
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