On Adaptive Continuous Finite‐Time Regulators for Euler‐Lagrange Systems

ABSTRACT We propose an adaptive set‐point controller for n‐degrees of freedom Euler‐Lagrange systems, particularly for robot manipulators. The controller is reminiscent of a simple proportional‐derivative controller with adaptive gravity compensation but ensures finite‐time (FT) stability. To that end, the parameter estimation law employs a Dynamic Regressor Extension and Mixing (DREM) estimator and both the proportional‐derivative terms and the estimation law are modified using nonlinearities of the type used in FT stabilization of second‐order systems (called Hölder's ontinuous terms). The value of our contribution lies in the fact that, to the best of the authors' knowledge, FT regulation (set‐point control) for Euler–Lagrange systems in presence of uncertain potential energy ensuring FT stability is a long‐standing open problem. Moreover, an interesting byproduct of our main results is a novel asymptotic adaptive control scheme which employs an FT‐convergent adaptation law and improves the system's robustness, notably with respect to certain unmodeled dynamics, such as friction, as well as to measurement noise. These properties are illustrated through extensive simulation results.

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Publication Details

Journal
International Journal of Adaptive Control and Signal Processing
Published
2025-12-12
DOI
https://doi.org/10.1002/acs.4106
Primary Topic
Aerospace Engineering and Control Systems
Type
article
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article

On Adaptive Continuous Finite‐Time Regulators for Euler‐Lagrange Systems

Marco A. Arteaga, Jaime A. Moreno, Emmanuel Cruz‐Zavala, Antonio Lorı́a
International Journal of Adaptive Control and Signal Processing
Aerospace Engineering and Control Systems
article

On Adaptive Continuous Finite‐Time Regulators for Euler‐Lagrange Systems

Marco A. Arteaga, Jaime A. Moreno, Emmanuel Cruz‐Zavala, Antonio Lorı́a
article en

Abstract

ABSTRACT We propose an adaptive set‐point controller for n‐degrees of freedom Euler‐Lagrange systems, particularly for robot manipulators. The controller is reminiscent of a simple proportional‐derivative controller with adaptive gravity compensation but ensures finite‐time (FT) stability. To that end, the parameter estimation law employs a Dynamic Regressor Extension and Mixing (DREM) estimator and both the proportional‐derivative terms and the estimation law are modified using nonlinearities of the type used in FT stabilization of second‐order systems (called Hölder's ontinuous terms). The value of our contribution lies in the fact that, to the best of the authors' knowledge, FT regulation (set‐point control) for Euler–Lagrange systems in presence of uncertain potential energy ensuring FT stability is a long‐standing open problem. Moreover, an interesting byproduct of our main results is a novel asymptotic adaptive control scheme which employs an FT‐convergent adaptation law and improves the system's robustness, notably with respect to certain unmodeled dynamics, such as friction, as well as to measurement noise. These properties are illustrated through extensive simulation results.

International Journal of Adaptive Control and Signal Processing
Instituto Tecnológico y de Estudios Superiores de Occidente (MX), Centre National de la Recherche Scientifique (FR), Universidad de Guadalajara (MX), Laboratoire des signaux et systèmes (FR), Universidad Nacional Autónoma de México (MX)
Openalex Percentile: Top 66%
Aerospace Engineering and Control Systems
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