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HCS12 Datasheet(PDF) 343 Page - Freescale Semiconductor, Inc

Part # HCS12
Description  HCS12 Microcontrollers
PDF  452 Pages
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Manufacturer  FREESCALE [Freescale Semiconductor, Inc]
Direct Link  http://www.freescale.com
Logo FREESCALE - Freescale Semiconductor, Inc

HCS12 Datasheet(HTML) 343 Page - Freescale Semiconductor, Inc

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S12CPUV2 Reference Manual, Rev. 4.0
Freescale Semiconductor
343
expression corresponds to a specific fuzzy output in RAM. Consequents for
a rule can be encoded as a simple list of pointers to (or addresses of) the
fuzzy outputs to which they refer.
The complete rules are stored in the knowledge base as a list of pointers or
addresses of fuzzy inputs and fuzzy outputs. For the rule evaluation logic to
work, there must be some means of knowing which pointers refer to fuzzy
inputs and which refer to fuzzy outputs. There also must be a way to know
when the last rule in the system has been reached.
• One method of organization is to have a fixed number of rules with a
specific number of antecedents and consequents.
• A second method, employed in Freescale Freeware M68HC11
kernels, is to mark the end of the rule list with a reserved value, and
use a bit in the pointers to distinguish antecedents from consequents.
• A third method of organization, used in the CPU12, is to mark the end
of the rule list with a reserved value, and separate antecedents and
consequents with another reserved value. This permits any number
of rules, and allows each rule to have any number of antecedents and
consequents, subject to the limits imposed by availability of system
memory.
Each rule is evaluated sequentially, but the rules as a group are treated as
if they were all evaluated simultaneously. Two mathematical operations
take place during rule evaluation. The fuzzy and operator corresponds to
the mathematical minimum operation and the fuzzy or operation
corresponds to the mathematical maximum operation. The fuzzy and is
used to connect antecedents within a rule. The fuzzy or is implied between
successive rules. Before evaluating any rules, all fuzzy outputs are set to
zero (meaning not true at all). As each rule is evaluated, the smallest
(minimum) antecedent is taken to be the overall truth of the rule. This rule
truth value is applied to each consequent of the rule (by storing this value to
the corresponding fuzzy output) unless the fuzzy output is already larger
(maximum). If two rules affect the same fuzzy output, the rule that is most
true governs the value in the fuzzy output because the rules are connected
by an implied fuzzy or.
In the case of rule weighting, the truth value for a rule is determined as usual
by finding the smallest rule antecedent. Before applying this truth value to
the consequents for the rule, the value is multiplied by a fraction from zero
(rule disabled) to one (rule fully enabled). The resulting modified truth value
is then applied to the fuzzy outputs.



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