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Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
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Related Experiment Videos

A complementary fuzzy logic system.

H Suzuki1

  • 1Dept. of Inf. & Syst. Eng., Chuo Univ., Tokyo.

IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society
|January 1, 1997
PubMed
Summary

This study introduces a complementary (C) fuzzy logic system, a novel continuous multiary logic system. It differs from standard systems by satisfying a complementary law, impacting inference computations.

Area of Science:

  • * Fuzzy Logic Systems
  • * Mathematical Logic
  • * Computational Intelligence

Background:

  • * Traditional fuzzy logic systems are widely used in various applications.
  • * Existing systems may have limitations in handling certain logical properties.
  • * Continuous multiary logic systems offer alternative frameworks for fuzzy reasoning.

Purpose of the Study:

  • * To introduce and formulate a novel complementary (C) fuzzy logic system.
  • * To explore the properties and tautologies of this new system.
  • * To demonstrate the distinct inference computation compared to usual fuzzy logic systems.

Main Methods:

  • * Formulation of the complementary (C) fuzzy logic system.
  • * Derivation of tautologies within the C fuzzy logic framework.

Related Experiment Videos

  • * Comparative analysis of inference computation with standard fuzzy logic systems.

    • Main Results:

    • * Successful formulation of the C fuzzy logic system.
    • * Identification and derivation of specific tautologies.
    • * Empirical evidence of differing inference results between C fuzzy logic and usual fuzzy logic systems.

    Conclusions:

    • * The complementary (C) fuzzy logic system presents a distinct approach to multiary logic.
    • * The satisfaction of a complementary law leads to unique computational properties.
    • * This system offers a new perspective for fuzzy logic applications and research.