In this paper, various aspects of digital fuzzy logic controller (FLC) design and implementation are discussed. Classic and improved models of the single-input single-output (SISO), multiple-input single-output (MISO), and multiple-input multiple-output (MIMO) FLC's are analyzed in terms of hardware cost and performance. A set of universal parameters to characterize any hardware realization of digital FLC's is defined. The comparative study of classic and alternative MIMO FLC's is presented as a generalization of other controller configurations. A processing element (PE) for the parallel FLC architecture realizing improved inferencing of MIMO system is designed, characterized, and tested. Finally, as a case feasibility study, a direct data stream (DDS) architecture for complete digital fuzzy controller is shown as an improved solution for high-speed, cost-effective, real-time control applications.
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