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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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Bibliografiske detaljer
Hovedforfatter: Peng Lu
Format: Artigo
Sprog:Inglês
Udgivet: Elsevier 2022-08-01
Serier:Franklin Open
Fag:
Online adgang:http://www.sciencedirect.com/science/article/pii/S2773186322000044
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