Adaptive Control of Euler-Lagrange Systems under Time-varying State Constraints without a Priori Bounded Uncertainty
arXiv:2311.00067 · doi:10.1016/j.ifacol.2023.10.1482
Abstract
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.
References in corpus (4)
- Control Barrier Function Based Quadratic Programs for Safety Critical Systems
- Experimental Comparison of Open Source Visual-Inertial-Based State Estimation Algorithms in the Underwater Domain
- GelTip: A Finger-shaped Optical Tactile Sensor for Robotic Manipulation
- Combining Prior Knowledge and Data for Robust Controller Design