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A stabilizing controller designed without considering quantization may not be effectively implemented for the systems with quantized information due to quantization errors.
In this study, (tau ^{ref}) is quantized only in the low-speed domain to reduce the effect of quantization errors.
In order to compensate for quantization errors, an adjustment range of quantization sensitivity for a dynamic uniform quantizer is given through the flexible choices of design parameters.
The modeling and quantization errors are independent.
The quantization errors are represented as convex poly-topic uncertainties.
In this case, the effect of quantization errors is studied.
However, these designs are non-robust to the quantization errors.
Finally, quantization errors in precoding coefficients are considered.
Due to truncation and rounding processes, quantization errors occur.
Further, the NDM is improved by weighting the quantization errors.
The proposed JSPQ has small quantization errors in front and rear regions and bigger quantization errors in side regions.
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