Fuzzy Logic Control The apphcation of fuzzy logic to process control requires the concepts of Fuzzy rules and fuzzy inference. A fuzzy rule, also known as a fuzzy IF-THEN statement, has the form [Pg.735]

Sometimes fuzzy logic controllers are combined with pattern recognition software such as artificial neural networks (Kosko, Neural Networks and Fuzzy Systems, Prentice Hall, Englewood Cliffs, New Jersey, 1992). [Pg.735]

Fuzzy logic control systems 10.2.1 Fuzzy set theory [Pg.326]

MATLAB Fuzzy Inference System (FIS) editor can be found in Appendix 1. Figure 10.16 shows the control surface for the 11 set rulebase fuzzy logic controller. [Pg.344]

Self-Organizing Fuzzy Logic Control (SOFLC) is an optimization strategy to create and modify the control rulebase for a FLC as a result of observed system performance. The SOFLC is particularly useful when the plant is subject to time-varying parameter changes and unknown disturbances. [Pg.344]

Fig. 10.16 Control surface for 11 set rulebase fuzzy logic controller. |

Fig. 10.17 Self-Organizing Fuzzy Logic Control system. |

Fig. A1.8 Simulink implementation of inverted pendulum fuzzy logic control problem. |

Predictive self-organizing fuzzy logic control (PSOFLC) 364 Pressure 27 difference 8 [Pg.445]

In addition to single-loop process controllers, products that have benefited from the implementation of fuzzy logic are [Pg.735]

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