Robust Finite-time Stabilization of Linear Systems with Limited State Quantization
<|reference_start|>Robust Finite-time Stabilization of Linear Systems with Limited State Quantization: This paper investigates the robust asymptotic stabilization of a linear time-invariant (LTI) system by a static feedback with a static state quantization. It is shown that the controllable LTI system can be stabilized to zero in a finite time by means of a nonlinear feedback with a quantizer having a limited (finite) number of values (quantization seeds) even when all parameters of the controller and the quantizer are time-invariant. The control design is based on generalized homogeneity. A homogeneous spherical quantizer is introduced. The static homogeneous feedback is shown to be local (or global) finite-time stabilizer for the linear system (dependently of the system matrix). The tuning rules for both the quantizer and the feedback law are obtained in the form of Linear Matrix Inequalities (LMIs). The closed-loop system is proven to be robust with respect to some bounded matched and vanishing mismatched perturbations. Theoretical results are supported by numerical simulations. \<|reference_end|>
@article{zhou2024robust,
    title={Robust Finite-time Stabilization of Linear Systems with Limited State
  Quantization},
    author={Yu Zhou, Andrey Polyakov, Gang Zheng},
    journal={arXiv preprint arXiv:2403.17184},
    year={2024},
    archivePrefix={arXiv},
    eprint={2403.17184},
    primaryClass={math.OC cs.SY eess.SY}
}