Adaptive Boundary Control of the Kuramoto-Sivashinsky Equation Under Intermittent Sensing
<|reference_start|>Adaptive Boundary Control of the Kuramoto-Sivashinsky Equation Under Intermittent Sensing: We study in this paper boundary stabilization, in the L2 sense, of the one-dimensional Kuramoto-Sivashinsky equation subject to intermittent sensing. We assume that we measure the state of this spatio-temporal equation on a given spatial subdomain during certain intervals of time, while we measure the state on the remaining spatial subdomain during the remaining intervals of time. As a result, we assign a feedback law at the boundary of the spatial domain and force to zero the value of the state at the junction of the two subdomains. Throughout the study, the destabilizing coefficient is assumed to be space-dependent and bounded but unknown. Adaptive boundary controllers are designed under different assumptions on the forcing term. In particular, when the forcing term is null, we guarantee global exponential stability of the origin. Furthermore, when the forcing term is bounded and admits a known upper bound, we guarantee input-to-state stability, and only global uniform ultimate boundedness is guaranteed when the upper bound is unknown. Numerical simulations are performed to illustrate our results<|reference_end|>
@article{belhadjoudja2024adaptive,
    title={Adaptive Boundary Control of the Kuramoto-Sivashinsky Equation Under
  Intermittent Sensing},
    author={Mohamed Camil Belhadjoudja, Mohamed Maghenem, Emmanuel Witrant,
  Christophe Prieur},
    journal={arXiv preprint arXiv:2403.18055},
    year={2024},
    archivePrefix={arXiv},
    eprint={2403.18055},
    primaryClass={eess.SY cs.SY math.AP}
}