High speed adaptive fuzzy control with quantized errors
Jeffrey T. Spooner · 1997
A quantized error adaptive fuzzy control scheme is presented for a class of discrete-time nonlinear systems. A quantized error adaptive scheme may be used to improve the update algorithm execution time by reducing the number of required multiplications. It is proven that on average the tracking error will be confined to an /spl epsiv/-neighborhood of zero whose size is dependent upon the quantization function.