39 citations · 96 across the 4 of their papers we have counts for
4 papers
Transfer Learning for Autonomous Chatter Detection in Machining
Melih C. Yesilli, Firas A. Khasawneh, Brian Mann
Large-amplitude chatter vibrations are one of the most important phenomena in machining processes. It is often detrimental in cutting operations causing a poor surface finish and d…
Attractor Selection in Nonlinear Energy Harvesting Using Deep Reinforcement Learning
Xue-She Wang, Brian P. Mann
Recent research efforts demonstrate that the intentional use of nonlinearity enhances the capabilities of energy harvesting systems. One of the primary challenges that arise in non…
A Model-Free Sampling Method for Estimating Basins of Attraction Using Hybrid Active Learning (HAL)
Xue-She Wang, Samuel A. Moore, James D. Turner +1
Understanding the basins of attraction (BoA) is often a paramount consideration for nonlinear systems. Most existing approaches to determining a high-resolution BoA require prior k…
Constrained Attractor Selection Using Deep Reinforcement Learning
Xue-She Wang, James D. Turner, Brian P. Mann
This paper describes an approach for attractor selection (or multi-stability control) in nonlinear dynamical systems with constrained actuation. Attractor selection is obtained usi…