Recursive filter with partial knowledge on inputs and outputs

© 2015, Institute of Automation, Chinese Academy of Sciences and Springer-Verlag Berlin Heidelberg. This paper investigates the problem of state estimation for discrete-time stochastic linear systems, where additional knowledge on the unknown inputs is available at an aggregate level and the knowled...

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Bibliographic Details

Main Authors:	Jinya Su, Baibing Li, Wen-Hua Chen
Format:	Default Article
Published:	2015
Subjects:	Other commerce, management, tourism and services not elsewhere classified Artificial intelligence not elsewhere classified Bayesian inference Kalman filter Missing measurements State estimation Unknown inputs Artificial Intelligence and Image Processing Business and Management not elsewhere classified
Online Access:	https://hdl.handle.net/2134/21206
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