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- W24070135 abstract "This paper describes how to design fuzzy controllers meeting the hardware constraints of digital signal processors (DSPs). Fuzzy controllers are used in many applications because of their rapid design by translating heuristic knowledge, robustness against perturbations, and smoothness in the control action. However, they require parallel processing and special operators (such as fuzzification or defuzzification) which are not available at standard DSPs, thus making inefficient its direct implementation. The idea followed in this paper is to translate the fuzzy rule bases of a fuzzy controller into non fuzzy ones that can be implemented easily by using the relational and logical operators, the standard if-then conditional statements, and the addition and multiplication operators available at a DSP. This is done by using hierarchical structures and adequate membership functions, connective operators, and inference methods. The parking problem of an autonomous robot is described to illustrate this design process. Experimental results show the efficiency of the designed fuzzy controller embedded into a stand-alone card based on a fixed-point DSP from Texas Instruments." @default.
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- W24070135 date "2004-01-01" @default.
- W24070135 modified "2023-09-27" @default.
- W24070135 title "DSP-based Fuzzy Controllers: Application to Parking an Autonomous Robot" @default.
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