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Multiplexing architecture for mixed-signal CMOS fuzzy controllers

Multiplexing architecture for mixed-signal CMOS fuzzy controllers

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Limited precision imposes limits on the complexity of analogue circuits, and hence fuzzy analogue controllers are usually oriented to fast low-power systems with low/medium complexity. A strategy to preserve most of the advantages of an analogue implementation, while allowing a marked increment in system complexity, is presented.

References

    1. 1)
      • Masetti, M., Gandolfi, E., Gabrieli, A., Boschetti, F.: `4 input VLSI fuzzy chip design able to process an input data set every320 ns', Proc. JCIS'95, October 1995, Wrightsville Beach, North Carolina, USA.
    2. 2)
      • Navas, R., Rodríguez-Vázquez, A.: `A 16 [email protected] mixed-signal programmable fuzzy controllerCMOS-1 µm chip', Proc. ESSCIRC'96, 1996, p. 156–159.
    3. 3)
      • M. Brown , C. Harris . (1994) Neuro-fuzzy adaptive modeling and control.
    4. 4)
      • S. Guo , L. Peters , H. Surmann . Design and application of an analog fuzzy logic controller. IEEE Trans. Fuzzy Syst. , 429 - 438
    5. 5)
      • A. Costa , A. de Gloria , P. Faraboschi , A. Pagni , G. Rizzotto . Hardware solutions for fuzzy control. Proc. IEEE , 422 - 434
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