A Missing Data Approach to Data-Driven Filtering and Control

In filtering, control, and other mathematical engineering areas, it is common to use a model-based approach, which splits the problem into two steps: 1) model identification and 2) model-based design. Despite its success, the model-based approach has the shortcoming that the design objective is not...

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Veröffentlicht in:	IEEE transactions on automatic control Jg. 62; H. 4; S. 1972 - 1978
1. Verfasser:	Markovsky, Ivan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 01.04.2017
Schlagworte:	Adaptation models Behavioral approach Data models data-driven filtering Estimation Linear systems Mathematical model missing data Predictive models structured low-rank approximation system identification Trajectory
ISSN:	0018-9286, 1558-2523
Online-Zugang:	Volltext
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