Comparative study of state and unknown input estimation for continuous–discrete stochastic systems
Joint state and unknown input estimation for continuous–discrete stochastic systems can be classified into two types: with and without modeling of unknown inputs. This paper first proposes a recursive four-step Kalman filter for addressing the joint state and unknown input estimation of continuous–d...
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| Hlavní autor: | |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Elsevier
2022-08-01
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| Edice: | Franklin Open |
| Témata: | |
| On-line přístup: | http://www.sciencedirect.com/science/article/pii/S2773186322000044 |
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