Please use this identifier to cite or link to this item: https://doi.org/10.3724/SP.J.1004.2009.00650
Title: On data-driven control theory: the state of the art and perspective
Authors: Hou, Z.-S.
Xu, J.-X. 
Keywords: Data driven control
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Issue Date: Jun-2009
Citation: Hou, Z.-S.,Xu, J.-X. (2009-06). On data-driven control theory: the state of the art and perspective. Zidonghua Xuebao/ Acta Automatica Sinica 35 (6) : 650-667. ScholarBank@NUS Repository. https://doi.org/10.3724/SP.J.1004.2009.00650
Abstract: The definitions and concepts of data-driven control theories and designs are described in this paper. The motivation and necessity for data-driven control are discussed from the aspects of theory, applications and the history of system control. The state-of-art of the existing data-driven control methods are presented with appropriate classifications and insights, and the differences among these methods and the application scopes are also highlighted. Finally, the perspective of data-driven control and associated research topics are also briefly explored and discussed.
Source Title: Zidonghua Xuebao/ Acta Automatica Sinica
URI: http://scholarbank.nus.edu.sg/handle/10635/56859
ISSN: 02544156
DOI: 10.3724/SP.J.1004.2009.00650
Appears in Collections:Staff Publications

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