{"ID":2839205,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2511.16616","arxiv_id":"2511.16616","title":"Stabilization of nonautonomous linear parabolic equations with inputs subject to time-delay","abstract":"The stabilization of nonautonomous parabolic equations is achieved by feedback inputs tuning a finite number of actuators, where it is assumed that the input is subject to a time delay. To overcome destabilizing effects of the time delay, the input is based on a prediction of the state at a future time. This prediction is computed depending on a state-estimate at the current time, which in turn is provided by a Luenberger observer. The observer is designed using the output of measurements performed by a finite number of sensors. The asymptotic behavior of the resulting coupled system is investigated. Numerical simulations are presented validating the theoretical findings, including tests showing the response against sensor measurement errors.","short_abstract":"The stabilization of nonautonomous parabolic equations is achieved by feedback inputs tuning a finite number of actuators, where it is assumed that the input is subject to a time delay. To overcome destabilizing effects of the time delay, the input is based on a prediction of the state at a future time. This prediction...","url_abs":"https://arxiv.org/abs/2511.16616","url_pdf":"https://arxiv.org/pdf/2511.16616v1","authors":"[\"Karl Kunisch\",\"Sérgio S. Rodrigues\"]","published":"2025-11-20T18:17:15Z","proceeding":"math.OC","tasks":"[\"math.OC\"]","methods":"[]","has_code":false}