Features: High Speed Rules ProcessingAntecedent Membership Functions with any Shape Up to 256 Rules (4 Antecedents,1 Consequent) Up to 16 Input ConfigurableVariables Up to 16 Membership Functions for an Input Variable Up to 16 OutputVariables Up to 128 Membership Functions for all Consequents MAX...
W.A.R.P.1.1: Features: High Speed Rules ProcessingAntecedent Membership Functions with any Shape Up to 256 Rules (4 Antecedents,1 Consequent) Up to 16 Input ConfigurableVariables Up to 16 Membership Functions f...
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PinoutDescription The W.A.R.P.2.0 is designed as one kind of 8-bit fuzzy co-processor device tha...
Symbol |
Parameter |
Value |
Unit |
VDD |
Supply Voltage |
-0.5 to 7 |
V |
VI |
Input Voltage |
-0.5 to VDD+0.5 |
V |
VO |
Ouput Voltage |
-0.5 to VDD+0.5 |
V |
IOL |
Output Sink PeakCurrent |
+24 |
mA |
IOH |
Output Source Peak Current |
-12 |
mA |
TOPT |
Operating Temperature |
0 to +70 |
°C |
TSTG |
Storage Temperature (Ceramic) |
-65 to +150 |
°C |
Storage Temperature (Plastic) |
-45 to +125 |
°C |
W.A.R.P. is a VLSI Fuzzy Logic controller whose architecture arises from the need of realizing an integrated structure with high inferencing performances and flexibility. To get those results a modular architecture based on a set of parallel memory blocks has been implemented.
In orderto obtainhigh performancesW.A.R.P.uses different data representations during the various phases of the computational cycle, so that it is always operating on the optimal data representation. A vectorial characterization has been adopted for the Antecedent Membership Functions. W.A.R.P. exploits a SGS-THOMSON patented strategyto store theAntecedentMembership