Analog VLSI architectures for Fuzzy systems

Goal of the research activity, carried out in the context of a collaboration with Co.Ri.M.Me., is the analysis and the realization of a hardware and software integrated system exploiting the elaboration capabilities offered by fuzzy logic. The analysis of the software methodologies resulted in the realization of an automatic synthesis environment for fuzzy systems that includes algorithms for the interaction between the information coming from natural language and from the lowest levels of abstraction and algorithms that minimize the cost of the systems that use this information. A programmable analog fuzzy processor has been realized, which processes up to 15 rules with three inputs and one output. Starting from specifications of the desired input/output relationship in terms of fuzzy rules or data samples, the software calculates the programming values that must be applied to the circuit in order to minimize the mean square error between the specified and synthesized characteristic. A digital bit-stream, serially loaded at system start-up from an external EEPROM, programs the chip. A compiler for analog fuzzy controllers has been also designed. The layout is generated automatically starting from global system specifications and the area and power requirements by any specific application are optimized.
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