Identification of discrete time systems with random jump parameters and incomplete information
The identification problem for a discrete system with jump parameters is considered. The proposed approach assumes the use of estimates constructed using the Kalman extrapolator with estimates of unknown inputs and estimates of unknown inputs in model of observation vector. The example is given to illustrate the proposed approach.
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Keywords
incomplete information, estimates, Markov chain, identification algorithmAuthors
| Name | Organization | |
| Kim Konstantin S. | Tomsk State University | kks93@rambler.ru |
| Smagin Valery I. | Tomsk State University; Tomsk State University of Radio Electronics and Control Systems | vsm@mail.tsu.ru |
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Identification of discrete time systems with random jump parameters and incomplete information | Vestnik Tomskogo gosudarstvennogo universiteta. Upravlenie, vychislitelnaja tehnika i informatika – Tomsk State University Journal of Control and Computer Science. 2021. № 54. DOI: 10.17223/19988605/54/6
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