Model reference adaptive control: A finite-time approach

Roberto Franco, Héctor Ríos, Alejandra Ferreira de Loza

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

2 Citas (Scopus)

Resumen

This article contributes with a finite-time model reference adaptive control approach to solve the robust tracking problem for a class of disturbed scalar linear systems. A nonlinear continuous control law, composed of nonlinear adaptive gains, provides a finite-time rate of convergence. For the ideal case, that is, without external disturbances, the tracking and the parameter (ideal control gains) identification error converge to zero in a finite time. For the disturbed case, the tracking and the parameter identification error dynamics are finite-time input-to-state stable with respect to the external disturbance. The corresponding convergence proofs and the robustness analysis are based on a Lyapunov function approach, input-to-state stability theory, and homogeneity theory. Finally, simulation and experimental results show the feasibility of the proposed scheme.

Idioma originalInglés
Páginas (desde-hasta)1231-1247
Número de páginas17
PublicaciónInternational Journal of Adaptive Control and Signal Processing
Volumen36
N.º5
DOI
EstadoPublicada - may. 2022
Publicado de forma externa

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© 2022 John Wiley & Sons Ltd.

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