A real-world application of Markov chain Monte Carlo method for Bayesian trajectory control of a robotic manipulator
Reinforcement learning methods are being applied to control problems in robotics domain.
These algorithms are well suited for dealing with the continuous large scale state spaces in …
These algorithms are well suited for dealing with the continuous large scale state spaces in …
State of health prediction of power connectors by analyzing the degradation trajectory of the electrical resistance
J Martínez, JR Riba, M Moreno-Eguilaz - Electronics, 2021 - mdpi.com
Estimating the remaining useful life (RUL) or the state of health (SoH) of electrical
components such as power connectors is still a challenging and complex task. Power …
components such as power connectors is still a challenging and complex task. Power …
Bayesian reinforcement learning with MCMC to maximize energy output of vertical axis wind turbine
A Ağababaoğlu - 2019 - research.sabanciuniv.edu
Optimization of energy output of small scale wind turbines requires a controller which keeps
the wind speed to rotor tip speed ratio at the optimum value. An analytic solution can be …
the wind speed to rotor tip speed ratio at the optimum value. An analytic solution can be …