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HCS12 Fiches technique(PDF) 339 Page - Freescale Semiconductor, Inc |
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HCS12 Fiches technique(HTML) 339 Page - Freescale Semiconductor, Inc |
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339 / 452 page ![]() S12CPUV2 Reference Manual, Rev. 4.0 Freescale Semiconductor 339 solve certain types of complex problems that have eluded traditional control methods. Fuzzy sets provide a means of using linguistic expressions like “temperature is warm” in rules which can then be evaluated with a high degree of numerical precision and repeatability. This directly contradicts the common misperception that fuzzy logic produces approximate results — a specific set of input conditions always produces the same result, just as a conventional control system does. A microcontroller-based fuzzy logic control system has two parts: • A fuzzy inference kernel which is executed periodically to determine system outputs based on current system inputs • A knowledge base which contains membership functions and rules Figure 9-1 is a block diagram of this kind of fuzzy logic system. Figure 9-1. Block Diagram of a Fuzzy Logic System INPUT MEMBERSHIP FUNCTIONS RULE LIST OUTPUT MEMBERSHIP FUNCTIONS FUZZIFICATION RULE EVALUATION DEFUZZIFICATION FUZZY INFERENCE KERNEL KNOWLEDGE BASE SYSTEM INPUTS SYSTEM OUTPUTS FUZZY INPUTS (IN RAM) FUZZY OUTPUTS (IN RAM) … … |
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