Data informativity for the open-loop identification of MIMO systems in the prediction error framework-Reference-Cited by-同舟云学术

Data informativity for the open-loop identification of MIMO systems in the prediction error framework

Published:2020-07 Issue: Volume:117 Page:109000
ISSN:0005-1098
Container-title:Automatica
language:en
Short-container-title:Automatica

Author:

Colin Kévin,Bombois Xavier,Bako Laurent,Morelli Federico

Funder

BPI France

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Reference14 articles.

1. Abhishankar, K., Nabil, M., & Sridharakumar, N. (2015). Economical input design for identification of multivariate systems. In 17th IFAC symposium on system identification SYSID 2015, Vol. 48, (28), Beijing (pp. 1313–1318).

2. Identification for control of multivariable systems: Controller validation and experiment design via LMIs;Barenthin;Automatica,2008

3. Necessary and sufficient conditions for uniqueness of the minimum in prediction error identification;Bazanella;Automatica,2012

4. Closed-loop identification of MIMO systems: a new look at identifiability and experiment design;Bazanella;European Journal of Control,2010

5. Least costly identification experiment for control;Bombois;Automatica,2006

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