Proceedings of the 2017 6th International Conference on Energy and Environmental Protection (ICEEP 2017)

Uncertainty levels are determined based on experimental data

Authors
Fucun Qu
Corresponding Author
Fucun Qu
Available Online June 2017.
DOI
10.2991/iceep-17.2017.198How to use a DOI?
Keywords
Robust control,Uncertainty, Model identification
Abstract

In the robust control theory, the norm boundary of uncertainty set (i.e. the uncertainty level) is an important issue. When the level of uncertainty is too large, the results will be too conservative, and when the uncertainty is too small, the results will be too optimistic. Two methods for determining the uncertainty level based on experimental data are given in this paper. Method 1 can obtain the minimum model error bounds, but the calculation is complex. Method 2 is simple in calculation and suitable for engineering applications.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 6th International Conference on Energy and Environmental Protection (ICEEP 2017)
Series
Advances in Engineering Research
Publication Date
June 2017
ISBN
10.2991/iceep-17.2017.198
ISSN
2352-5401
DOI
10.2991/iceep-17.2017.198How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Fucun Qu
PY  - 2017/06
DA  - 2017/06
TI  - Uncertainty levels are determined based on experimental data
BT  - Proceedings of the 2017 6th International Conference on Energy and Environmental Protection (ICEEP 2017)
PB  - Atlantis Press
SP  - 1133
EP  - 1136
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceep-17.2017.198
DO  - 10.2991/iceep-17.2017.198
ID  - Qu2017/06
ER  -