Sequential predictors for delay compensation for discrete time systems with time-varying delays
| Autor: | Indra Narayana Sandilya Bhogaraju, Michael Malisoff, Frédéric Mazenc |
|---|---|
| Přispěvatelé: | Laboratoire des signaux et systèmes (L2S), CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Dynamical Interconnected Systems in COmplex Environments (DISCO), Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire des signaux et systèmes (L2S), CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Louisiana State University (LSU) |
| Rok vydání: | 2020 |
| Předmět: |
Delay
0209 industrial biotechnology Discretization Computer science 020208 electrical & electronic engineering discrete time robustness prediction 02 engineering and technology Stability (probability) Upper and lower bounds Compensation (engineering) 020901 industrial engineering & automation Discrete time and continuous time Sampling (signal processing) Control and Systems Engineering Robustness (computer science) Control theory [INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering 0202 electrical engineering electronic engineering information engineering Digital control Electrical and Electronic Engineering |
| Zdroj: | Automatica Automatica, 2020, 122, ⟨10.1016/j.automatica.2020.109188⟩ Automatica, Elsevier, 2020, 122, ⟨10.1016/j.automatica.2020.109188⟩ |
| ISSN: | 0005-1098 |
| DOI: | 10.1016/j.automatica.2020.109188 |
| Popis: | International audience; We study time-varying linear discrete time systems with uncertainties and time-varying measurement delays, whose outputs are perturbed by uncertainty. We build sequential predictors, which ensure input-to-state stability with respect to the uncertainties and which can be constructed using output values under arbitrarily long delays. The number of required sequential predictors is any upper bound for the delay in our feedback stabilized closed loop systems. We illustrate our work in a digital control problem for a continuous time system that is discretized through sampling. |
| Databáze: | OpenAIRE |
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