Abstract
This paper investigates the stabilization problem for linear time-invariant systems with limited data rates. The zooming quantization scheme is analyzed, which relies on the encoder and controller being initialized with identical internal states. A new control design methodology, which relies on the possibility of changing the sensitivity of the quantizer while the system evolves, is proposed. This quantization scheme can yield global asymptotic stability for linear time-invariant systems.
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