Computing an appropriate control strategy based only on a given plant's rule-based model is NP-hard

J. Abello, V. Kreinovich, H. T. Nguyen, S. Sudarsky, J. Yen

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

3 Scopus citations

Abstract

A new method for transforming fuzzy rules into a precise control strategy is presented. The proposed method formulates the problem by describing the dynamics of a plant whose state and control vectors are specified at discrete moments of time. This site is aimed at identifying a state vector in which several equality or inequalities of a specific type holds. A control strategy that satisfies all sets of fuzzy constraints can then be derived from the results.

Original languageEnglish (US)
Title of host publicationProc 1994 1 Int Jt Conf NAFIPS IFIS NASA
EditorsLarry Hall, Hao Ying, Reza Langari, John Yen
PublisherIEEE
Pages331-332
Number of pages2
StatePublished - 1994
EventProceedings of the 1994 1st International Joint Conference of NAFIPS/IFIS/NASA - San Antonio, TX, USA
Duration: Dec 18 1994Dec 21 1994

Other

OtherProceedings of the 1994 1st International Joint Conference of NAFIPS/IFIS/NASA
CitySan Antonio, TX, USA
Period12/18/9412/21/94

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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  • Cite this

    Abello, J., Kreinovich, V., Nguyen, H. T., Sudarsky, S., & Yen, J. (1994). Computing an appropriate control strategy based only on a given plant's rule-based model is NP-hard. In L. Hall, H. Ying, R. Langari, & J. Yen (Eds.), Proc 1994 1 Int Jt Conf NAFIPS IFIS NASA (pp. 331-332). IEEE.