Adaptive Control of Euler-Lagrange Systems under Time-varying State Constraints without a Priori Bounded Uncertainty

Fuente: arXiv
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Autores principales: Sankaranarayanan, Viswa Narayanan, Satpute, Sumeet Gajanan, Roy, Spandan, Nikolakopoulos, George
Formato: Preprint
Publicado: 2023
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author Sankaranarayanan, Viswa Narayanan
Satpute, Sumeet Gajanan
Roy, Spandan
Nikolakopoulos, George
author_facet Sankaranarayanan, Viswa Narayanan
Satpute, Sumeet Gajanan
Roy, Spandan
Nikolakopoulos, George
contents In this article, a novel adaptive controller is designed for Euler-Lagrangian systems under predefined time-varying state constraints. The proposed controller could achieve this objective without a priori knowledge of system parameters and, crucially, of state-dependent uncertainties. The closed-loop stability is verified using the Lyapunov method, while the overall efficacy of the proposed scheme is verified using a simulated robotic arm compared to the state of the art.
format Preprint
id arxiv_https___arxiv_org_abs_2311_00067
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Adaptive Control of Euler-Lagrange Systems under Time-varying State Constraints without a Priori Bounded Uncertainty
Sankaranarayanan, Viswa Narayanan
Satpute, Sumeet Gajanan
Roy, Spandan
Nikolakopoulos, George
Systems and Control
Robotics
In this article, a novel adaptive controller is designed for Euler-Lagrangian systems under predefined time-varying state constraints. The proposed controller could achieve this objective without a priori knowledge of system parameters and, crucially, of state-dependent uncertainties. The closed-loop stability is verified using the Lyapunov method, while the overall efficacy of the proposed scheme is verified using a simulated robotic arm compared to the state of the art.
title Adaptive Control of Euler-Lagrange Systems under Time-varying State Constraints without a Priori Bounded Uncertainty
topic Systems and Control
Robotics
url https://arxiv.org/abs/2311.00067