Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology

Robustification of Self-Optimising Systems via Explicit Treatment of Uncertain Information

Authors
Jan H. Schoenke, Werner Brockmann
Corresponding Author
Jan H. Schoenke
Available Online June 2015.
DOI
10.2991/ifsa-eusflat-15.2015.25How to use a DOI?
Keywords
Self-Optimising Systems, Uncertain Information, Uncertainty Treatment, Regression
Abstract

Uncertainty treatment in self-optimising systems touches two design-issues. Firstly, a valid estimation of uncertainties within the system is impossible beforehand as the uncertainties as well as the systems behaviour changes during run-time due to self-optimisation. Secondly, the design of a selfoptimising system needs to mediate between the often conflicting goals of optimality and robustness. Here we present the concept for a lightweight algorithmic add-on for self-optimising function approximators that enables to reflect uncertainties related to the current state and to flexibly combine optimality and robustness in one design. Illustrating examples of TS-fuzzy systems highlight the properties of our approach.

Copyright
© 2015, 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 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology
Series
Advances in Intelligent Systems Research
Publication Date
June 2015
ISBN
10.2991/ifsa-eusflat-15.2015.25
ISSN
1951-6851
DOI
10.2991/ifsa-eusflat-15.2015.25How to use a DOI?
Copyright
© 2015, 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  - Jan H. Schoenke
AU  - Werner Brockmann
PY  - 2015/06
DA  - 2015/06
TI  - Robustification of Self-Optimising Systems via Explicit Treatment of Uncertain Information
BT  - Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology
PB  - Atlantis Press
SP  - 152
EP  - 161
SN  - 1951-6851
UR  - https://doi.org/10.2991/ifsa-eusflat-15.2015.25
DO  - 10.2991/ifsa-eusflat-15.2015.25
ID  - Schoenke2015/06
ER  -