[HTML][HTML] Q-Learning-based model predictive variable impedance control for physical human-robot collaboration

L Roveda, A Testa, AA Shahid, F Braghin, D Piga - Artificial Intelligence, 2022 - Elsevier
Physical human-robot collaboration is increasingly required in many contexts (such as
industrial and rehabilitation applications). The robot needs to interact with the human to …

Robust control barrier function for systems affected by a class of mismatched disturbances

R Takano, M Yamakita - SICE Journal of Control, Measurement …, 2020 - Taylor & Francis
This paper proposes a robust exponential control barrier function (RECBF) for systems
affected by a class of mismatched disturbances, which forces system states to remain in a …

Data-Driven Adaptive Controller Based on Hyperbolic Cost Function for Non-Affine Discrete-Time Systems with Variant Control Direction

M Flores-Padilla, C Treesatayapun - Applied System Innovation, 2024 - mdpi.com
As technology evolves, more complex non-affine systems are created. These complex
systems are hard to model, whereas most controllers require information on systems to be …

Direct Adaptive Control of Nonaffine Magnetic Levitation System Using Radial Basis Function Neural Network

J Sebastian, KV Shihabudheen - … International Conference on …, 2023 - ieeexplore.ieee.org
Magnetic levitation system (MLS) is seldom modeled as a nonlinear system. This hinders the
incorporation of nonlinearity due to its control input into the model of the system. Literature …

Modelling and Navigation of Autonomous Vehicles on Roundabouts

D Mandyam - 2021 - uwspace.uwaterloo.ca
A path following controller was proposed that allows autonomous vehicles to safely navigate
roundabouts. The controller consisted of a vector field algorithm that generated velocity …

Gradient based Optimal State Feedback Control design for Feedback Linearizable Nonlinear Nonaffine system

KV Shihabudheen - 2020 3rd International Conference on …, 2021 - ieeexplore.ieee.org
In this paper, an optimal state feedback controller is designed for a nonaffine nonlinear
system. The nonaffine system is converted into affine system using mean value theorem …