An Adaptive Disturbance Decoupling Perspective to Longitudinal Platooning
| Autor: | Harry L. Trentelman, Di Liu, Wenwu Yu, Simone Baldi, Bart Besselink |
|---|---|
| Přispěvatelé: | Systems, Control and Applied Analysis |
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
Control and Optimization
Disturbance (geology) Adaptive control Computer science Asymptotic stability Adaptation models Stability analysis Vehicle dynamics Stability (probability) Exponential stability Closed loop systems Control and Systems Engineering Control theory Engines Decoupling (electronics) Parametric statistics |
| Zdroj: | IEEE Control Systems Letters, 6, 668-673. IEEE IEEE Control Systems Letters, 6 |
| ISSN: | 2475-1456 |
| DOI: | 10.1109/LCSYS.2021.3084960 |
| Popis: | Despite the progress in the field of longitudinal formations of automated vehicles, only recently an interpretation of longitudinal platooning has been given in the framework of disturbance decoupling, i.e. the problem of making a controlled output independent of a disturbance. The appealing feature of this interpretation is that the disturbance decoupling approach naturally yields a decentralized controller that guarantees stability and string stability. In this work, we further exploit the disturbance decoupling framework and we show that convergence to a stable, string stable and disturbance decoupled behavior can be achieved even in the presence of parametric uncertainty of the engine time constant. We refer to this framework as adaptive disturbance decoupling. |
| Databáze: | OpenAIRE |
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