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Communication Dans Un Congrès Année : 2019

A Hybrid Adaptive Inverse for Uncertain SISO Linear Plants with Full Relative Degree *

Résumé

We propose a hybrid adaptive feed-forward regulator for single-input single-output linear plants with full relative degree. The scheme includes an adaptive law that estimates the inverse of the plant and provides a feed-forward control calculated on the basis of the desired output and its derivatives. The adaptation is performed during discrete time events, called jumps, while the feed-forward action is continuous. This combination leads to a full hybrid system. The advantage of this framework is a conceptual separation between the adaptation dynamics, which is discrete, and the plant dynamics, which is continuous. Under an assumption of a persistence of excitation, we show through examples that the output asymptotically tracks the desired reference and that the estimate of the parameters of the inverse converges.
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Dates et versions

hal-03028110 , version 1 (27-11-2020)

Identifiants

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Matteo Cocetti, Matteo Ragni, Sophie Tarbouriech, Luca Zaccarian. A Hybrid Adaptive Inverse for Uncertain SISO Linear Plants with Full Relative Degree *. 2019 American Control Conference (ACC), Jul 2019, Philadelphia, United States. pp.2315-2320, ⟨10.23919/ACC.2019.8814785⟩. ⟨hal-03028110⟩
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