11 citations · 11 across the 5 of their papers we have counts for
5 papers
Modeling Adaptive Tracking of Predictable Stimuli in Electric Fish
Yu Yang, Andreas Oliveira, Louis L. Whitcomb +3
The weakly electric fish \emph{Eigenmannia virescens} naturally swims back and forth to stay within a moving refuge, tracking its motion using visual and electrosensory feedback. P…
The Barycenter Method for Direct Optimization: an Overview
Felipe M Pait
A randomized version of the recently developed barycenter method for derivative--free optimization has desirable properties of a gradient search. We developed a complex version to…
The Barycenter Method for Direct Optimization
Felipe M Pait
A randomized version of the recently developed barycenter method for derivative-free optimization has desirable properties of a gradient search. We develop a complex version to avo…
Machine Learning Barycenter Approach to Identifying LPV State-Space Models
R. A. Romano, P. Lopes dos Santos, Felipe Pait +2
In this paper an identification method for state-space LPV models is presented. The method is based on a particular parameterization that can be written in linear regression form a…
A Tuner that Accelerates Parameters
Felipe M. Pait, Paulo A Atkinson
We propose a tuner, suitable for adaptive control and (in its discrete-time version) adaptive filtering applications, that sets the second derivative of the parameter estimates rat…