Skip to content
DraconiticResearch
Search Sources API
181,713 studies31 sourcesUpdated 25 min ago
PreprintCC BY 4.0arXiv

Semi-global exact prescribed-time stabilization of linear systems by bounded linear time-varying feedback

Abstract

This paper addresses the problem of semi-global exact prescribed-time stabilization of linear systems by bounded controls. To solve such a problem, one needs to construct a parameterized quadratic control Lyapunov function whose corresponding level set can be made arbitrarily large (for achieving semi-global stabilization) and such that the real parts of the poles of the closed-loop system approach minus infinity as the parameter approaches infinity (for achieving prescribed-time stabilization). This objective is achieved by proposing a nested parametric Lyapunov equation (PLE)-based approach, through which only two linear matrix equations need to be solved in the controller design stage without using real-time state information. Under the proposed structural condition, the nested PLE-based approach guarantees semi-global exact prescribed-time stabilization for any prescribed bounded set of initial conditions, provided that the prescribed settling time is sufficiently large. A numerical example is provided to demonstrate the effectiveness of the designed controller.

Related

  1. Using delays for prescribed-time static output feedback stabilization of LTI controllable and observable systems
    Kang-Kang Zhang, Emilia Fridman
    arXivPreprintCC BY 4.0Full textOptimisation & controlarXiv
  2. Feedback Stabilization for Sampled Linear Systems with Control-linear Noise
    Cynthia Cheng, Xudong Chen
    arXivPreprintarXiv licenceFull textOptimisation & controlarXiv
  3. Using artificial delays for prescribed/fixed-time static output feedback control of linear systems
    Kang-Kang Zhang, Emilia Fridman
    arXivPreprintCC BY 4.0Full textOptimisation & controlarXiv
  4. Successive design of backstepping observers for parabolic PDE-ODE systems and its duality to state feedback stabilization
    Nicole Gehring
    arXivPreprintCC BY-NC-SA 4.0Full textOptimisation & controlarXiv
  5. Feedback approaches for set-point stabilization of interacting particle systems
    Daniel Jannik Happ, Birgit Jacob, Claudia Totzeck
    arXivPreprintCC BY 4.0Full textDynamical systemsOptimisation & controlarXiv
BibTeX
@misc{xie2026semiglobal,
  title = {{Semi-global exact prescribed-time stabilization of linear systems by bounded linear time-varying feedback}},
  author = {Qinyu Xie and Bin Zhou},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.07281},
  eprint = {2609.07281},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.07281},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - Semi-global exact prescribed-time stabilization of linear systems by bounded linear time-varying feedback
AU  - Qinyu Xie
AU  - Bin Zhou
PY  - 2026
DA  - 2026/09/07
PB  - arXiv
DO  - 10.48550/arxiv.2609.07281
UR  - https://arxiv.org/abs/2609.07281
AB  - This paper addresses the problem of semi-global exact prescribed-time stabilization of linear systems by bounded controls. To solve such a problem, one needs to construct a parameterized quadratic control Lyapunov function whose corresponding level set can be made arbitrarily large (for achieving semi-global stabilization) and such that the real parts of the poles of the closed-loop system approach minus infinity as the parameter approaches infinity (for achieving prescribed-time stabilization). This objective is achieved by proposing a nested parametric Lyapunov equation (PLE)-based approach, through which only two linear matrix equations need to be solved in the controller design stage without using real-time state information. Under the proposed structural condition, the nested PLE-based approach guarantees semi-global exact prescribed-time stabilization for any prescribed bounded set of initial conditions, provided that the prescribed settling time is sufficiently large. A numerical example is provided to demonstrate the effectiveness of the designed controller.
ER  -