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A Robust Evolving Cloud-Based Controller

  • Chapter
Springer Handbook of Computational Intelligence

Part of the book series: Springer Handbooks ((SHB))

Abstract

In this chapter a novel online self-evolving cloud-based controller, called Robust Evolving Cloud-based Controller (GlossaryTerm

RECCo

) is introduced. This type of controller has a parameter-free antecedent (IF) part, a locally valid GlossaryTerm

PID

consequent part, and a center-of-gravity based defuzzification. A first-order learning method is applied to consequent parameters and reference model adaptive control is used locally in the GlossaryTerm

ANYA

type fuzzy rule-based system. An illustrative example is provided mainly for a proof of concept. The proposed controller can start with no pre-defined fuzzy rules and does not need to pre-define the range of the output, number of rules, membership functions, or connectives such as AND, OR. This GlossaryTerm

RECCo

controller learns autonomously from its own actions while controlling the plant. It does not use any off-line pre-training or explicit models (e. g. in the form of differential equations) of the plant. It has been demonstrated that it is possible to fully autonomously and in an unsupervised manner (based only on the data density and selecting representative prototypes/focal points from the control hypersurface acting as a data space) generate and self-tune/learn a non-linear controller structure and evolve it in online mode. Moreover, the results demonstrate that this autonomous controller has no parameters in the antecedent part and surpasses both traditional GlossaryTerm

PID

controllers being a non-linear, fuzzy combination of locally valid GlossaryTerm

PID

controllers, as well as traditional fuzzy (Mamdani and Takagi–Sugeno) type controllers by their lean structure and higher performance, lack of membership functions, antecedent parameters, and because they do not need off-line tuning.

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Abbreviations

ANYA:

Angelov–Yager

COG:

center of gravity

DC:

direct current

FRB:

fuzzy rule-based

PID:

proportional-integral-derivative

RECCo:

robust evolving cloud-based controller

TSK:

Takagi–Sugeno–Kang

WTA:

winner-take-all

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Author information

Authors and Affiliations

  1. School of Computing and Communications, Lancaster University, LA1 4YW, Bailrigg, Lancaster, UK

    Plamen P. Angelov

  2. Faculty of Electrical Engineering, University of Ljubljana, Tržaška 25, 1000, Ljubljana, Slovenia

    Igor Škrjanc & Sašo Blažič

Authors
  1. Plamen P. Angelov
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  2. Igor Škrjanc
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  3. Sašo Blažič
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Corresponding author

Correspondence to Plamen P. Angelov .

Editor information

Editors and Affiliations

  1. Systems Research Inst., Polish Academy of Sciences, ul. Newelska 6, 01-447, Warsaw, Poland

    Janusz Kacprzyk

  2. Dep. Electrical and Computer Engineering, University of Alberta, 116 Street 9107, T6J 2V4, Edmonton, Alberta, Canada

    Witold Pedrycz

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Angelov, P.P., Škrjanc, I., Blažič, S. (2015). A Robust Evolving Cloud-Based Controller. In: Kacprzyk, J., Pedrycz, W. (eds) Springer Handbook of Computational Intelligence. Springer Handbooks. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-43505-2_75

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  • DOI: https://doi.org/10.1007/978-3-662-43505-2_75

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  • Print ISBN: 978-3-662-43504-5

  • Online ISBN: 978-3-662-43505-2

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