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STFLWARP20 データシート(PDF) 8 Page - STMicroelectronics |
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STFLWARP20 データシート(HTML) 8 Page - STMicroelectronics |
8 / 28 page Mode PRESET OFL AUTO OE I0-I7 RD SIS0-SIS2 O0-O7 O8-O10 O11 OC0-OC1 Off-Line Slave VIH VIH VIL X Data In X X X X X Off-Line Autoboot VIH VIH VIH VIH Data In X Clock Rate Selection Code External Memory Addresses X On-Line Master (2 ) VIH VIL X (2) VIH Data In X Data Out Next Input (2) Output Selection On-Line Slave (3) VIH VIL X (2) VIH Data In Input Selection Data Out X (2) Output Selection Output Disable VIH XX VIL X X X Hi-Z X Reset (4) XX X X X X VOL VOL VOL VOL Table 3. Operating Modes (1) Notes: 1. This table uses default active handshaking signal polarity (see table 6), X = don’t care. 2. If AUTO is High pulse in O11 is absent. 3. LASTIN and WAIT pulses are optional. 4. Same operation is obtained when positive and negative OFL transactions occour. INTERNAL STRUCTURE The block diagram shown in figure 2 describes the structure of W.A.R.P.2.0 (a more detailed block diagram is shown in fig. 11). Input Port. This internal block performs the input data routing. Data are read one byte a time from the input data bus, internally stored, and sent to the ALPHA calculator following the rules loaded in the Program Memory. Input data resolution is 8 bit. The cycle starts when all inputs or a LASTIN High have been provided and continues until BUSY is active or a PRESET signal is given. When BUSY becomes inactive a new acquisition phase can start. Alpha Calculator. This block calculates the inter- section (ALPHA weight) between an Antecedent Membership Function and the corresponding crisp input (see figure 8). Inference Unit. Thanks to the Theta Operator, the Inference Unit generates the THETA weights which are used to manipulate the consequent MFs. This is a calculation of the maximum and/or mini- mum performed on ALPHA values according to the logical connectives of fuzzy rules. It is possible to utilize the AND/OR connectives and to directly ex- ploit ALPHA weights or the negated values. The number of THETA weights depends on the number of rules. The rules can have at maximum four ALPHA weights (however they are connected). Two or more rules can be only joined with the OR connective. Inference Unit structure is shown in figure 9. Defuzzifier. It generates the output crisp values implementing the consequent part of the rules. In this method consequent MFs are multiplied by a weight value Ω (OMEGA), which is calculated on the basis of antecedent MFs and logical operators. The processing of fuzzy rules produces, for each output variable, a resulting membership function. Each MF related to the processed output variable is firstly modified by a rule weight. Output value (Y) is deduced from the centroids (Xi) and the modified MFs ( Ωi ) by using the formula: Y = ∑ 1 n Ω i ∗ X i ∑ 1 n Ω i n = number of MFs of the Output Variable. Xi =absciss of the MFi centroid. Ωi =membership degree of the output MFi. Two parallel blocks calculate the numerator and denominator values to implement the centroids formula. A final division block calculates the output values (see figure 10). 8/28 W.A.R.P.2.0 |
同様の部品番号 - STFLWARP20 |
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同様の説明 - STFLWARP20 |
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