### 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 language | English (US) |
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Title of host publication | Proc 1994 1 Int Jt Conf NAFIPS IFIS NASA |

Editors | Larry Hall, Hao Ying, Reza Langari, John Yen |

Publisher | IEEE |

Pages | 331-332 |

Number of pages | 2 |

State | Published - 1994 |

Event | Proceedings of the 1994 1st International Joint Conference of NAFIPS/IFIS/NASA - San Antonio, TX, USA Duration: Dec 18 1994 → Dec 21 1994 |

### Other

Other | Proceedings of the 1994 1st International Joint Conference of NAFIPS/IFIS/NASA |
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City | San Antonio, TX, USA |

Period | 12/18/94 → 12/21/94 |

### 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.