Asynchronous Dynamic Quantization for Nonlinear Systems with One-bit
Data Transmission
Abstract
This paper investigates the problem of asynchronous dynamic quantization
for nonlinear systems with unknown initial conditions and subject to
external disturbances and delays. We propose a novel two-level dynamic
quantizer that only depends on the sign of the quantization error to
quantize the actual input signal. Building on the sliding mode approach,
the proposed quantizer is enabled to capture the state/input in a finite
time and maintains the quantization error bounded after capturing.
Sufficient conditions are provided to ensure closed-loop stability in
terms of Lyapunov functions. Furthermore, the robustness of the
quantization policy with respect to external disturbances and time
delays is also investigated. The effectiveness of the approach is
demonstrated through a numerical example.