Please use this identifier to cite or link to this item: https://doi.org/10.3724/SP.J.1004.2009.00668
Title: Notes on data-driven system approaches
Authors: Xu, J.-X. 
Hou, Z.-S.
Keywords: Data-driven
Principal relations
Problem classification
Research directions
Issue Date: Jun-2009
Citation: Xu, J.-X.,Hou, Z.-S. (2009-06). Notes on data-driven system approaches. Zidonghua Xuebao/ Acta Automatica Sinica 35 (6) : 668-675. ScholarBank@NUS Repository. https://doi.org/10.3724/SP.J.1004.2009.00668
Abstract: In this paper, we present several considerations centered around the data-driven system approaches. We briefly explore three main issues: the evolving relationship between off-line and on-line data processing methods, the complementary relationship between the data-driven and model-based methods, and the perspectives of data-driven system approaches. Instead of offering solutions to data-driven system problems, which is impossible at the present level of knowledge and research, in this article we aim at categorizing and classifying open problems, exploring possible directions that may offer alternatives or potentials for the four key fields of interests: control, decision making, scheduling, and fault diagnosis.
Source Title: Zidonghua Xuebao/ Acta Automatica Sinica
URI: http://scholarbank.nus.edu.sg/handle/10635/82784
ISSN: 02544156
DOI: 10.3724/SP.J.1004.2009.00668
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