TS fuzzy modeling based anytime control methodology for situational control

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Nowadays, modern approaches to complex system's control show the need for preparing strategies also for the atypical operational situations, like crisis, emergency, structural failures, starting and stopping of plants, etc. Situational control tries to handle the problem of the contradiction arising from the existence of the large number of situations and the limited number of used control strategies by grouping the possible situations into a treatable (finite) number of model classes of operational situations and assigning certain control algorithms to the defined control regimes. Anytime control algorithms fit into the frame of situational control concept. They aim to offer a tradeoff between resource consumption (including time and data as well) and output quality. In this paper, an anytime control methodology is presented which combines Takagi-Sugeno fuzzy modeling techniques with anytime processing. The proposed method can be used in situational control advantageously and is able to cope with atypical situations, time and resource insufficiency.

Original languageEnglish
Title of host publicationConference Record - IEEE Instrumentation and Measurement Technology Conference
Pages1777-1782
Number of pages6
DOIs
Publication statusPublished - 2011
Event2011 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2011 - Binjiang, Hangzhou, China
Duration: May 10 2011May 12 2011

Other

Other2011 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2011
CountryChina
CityBinjiang, Hangzhou
Period5/10/115/12/11

Fingerprint

Large scale systems
Processing

Keywords

  • anytime control
  • real-time control
  • situational control
  • SVD
  • TS fuzzy modeling

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Várkonyi-Kóczy, A., & Rudas, I. (2011). TS fuzzy modeling based anytime control methodology for situational control. In Conference Record - IEEE Instrumentation and Measurement Technology Conference (pp. 1777-1782). [5944354] https://doi.org/10.1109/IMTC.2011.5944354

TS fuzzy modeling based anytime control methodology for situational control. / Várkonyi-Kóczy, A.; Rudas, I.

Conference Record - IEEE Instrumentation and Measurement Technology Conference. 2011. p. 1777-1782 5944354.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Várkonyi-Kóczy, A & Rudas, I 2011, TS fuzzy modeling based anytime control methodology for situational control. in Conference Record - IEEE Instrumentation and Measurement Technology Conference., 5944354, pp. 1777-1782, 2011 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2011, Binjiang, Hangzhou, China, 5/10/11. https://doi.org/10.1109/IMTC.2011.5944354
Várkonyi-Kóczy A, Rudas I. TS fuzzy modeling based anytime control methodology for situational control. In Conference Record - IEEE Instrumentation and Measurement Technology Conference. 2011. p. 1777-1782. 5944354 https://doi.org/10.1109/IMTC.2011.5944354
Várkonyi-Kóczy, A. ; Rudas, I. / TS fuzzy modeling based anytime control methodology for situational control. Conference Record - IEEE Instrumentation and Measurement Technology Conference. 2011. pp. 1777-1782
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