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Interaction Measures for Control Configuration Selection Based on Interval Type-2 Takagi-Sugeno Fuzzy Model
(Center of Applied Autonomous Sensor System)ORCID iD: 0000-0001-8119-0843
Örebro University, School of Science and Technology. (Center of Applied Autonomous Sensor System)ORCID iD: 0000-0002-0334-2554
2018 (English)In: IEEE transactions on fuzzy systems, ISSN 1063-6706, E-ISSN 1941-0034, Vol. 26, no 5, p. 2510-2523Article in journal (Refereed) Published
Abstract [en]

Interaction measure determines decentralized and parse control configurations for a multivariable process control. This paper investigates interval type-2 Takagi–Sugeno fuzzy (IT2TSF) model based interactionmeasures using two different criteria, one is controllability and observability gramians, the other is relative normalized gain array (RNGA). The main contributions are: first, a data-driven IT2TSF modeling method is introduced; econd, explicit formulas to execute the two measures based on IT2TSF models are given; third, two interaction indexes are defined from RNGA to select sparse control configuration; fourth, the calculations to derive sensitivities of the two measures with respect to parametric variations in the IT2TSF models are developed; and fifth, the discussion to compare the two measures is presented. Three multivariable processes are used as examples to show that the results calculated from IT2TSF models are more accurate than that from their type-1 counterparts, and compared to gramian-basedmeasure, RNGA selectsmore reasonable control configurations and is more robust to the parametric uncertainties.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2018. Vol. 26, no 5, p. 2510-2523
Keywords [en]
Control configuration, gramians, interaction measure, relative normalized gain array (RNGA), type-2 fuzzy model
National Category
Robotics
Identifiers
URN: urn:nbn:se:oru:diva-64473DOI: 10.1109/TFUZZ.2018.2791929ISI: 000446675400003Scopus ID: 2-s2.0-85044729599OAI: oai:DiVA.org:oru-64473DiVA, id: diva2:1177008
Available from: 2018-01-24 Created: 2018-01-24 Last updated: 2018-10-22Bibliographically approved

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Type-1 and Type-2 Effective Tagaki-Sugeno Fuzzy Models for Decentralized Control of Multi-Input-Multi-Output Processes(1338 kB)37 downloads
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Liao, Qianfang

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