activity
20142020
most citedStructural, Dynamical and Symbolic Observability: From Dynamical Systems to Networks

56 citations · 267 across the 15 of their papers we have counts for

collaborators
Showing 2017Show all

6 papers · 1 filter

nlin.CD2017★ 2 cited

Mixed measurements and the detection of phase synchronization in networks

Leonardo L. Portes, Luis A. Aguirre

Multivariate singular spectrum analysis (M-SSA), with a varimax rotation of eigenvectors, was recently proposed to provide detailed information about phase synchronization in netwo…

eess.SY2017

Lasso Regularization Paths for NARMAX Models via Coordinate Descent

Antônio H. Ribeiro, Luis A. Aguirre

We propose a new algorithm for estimating NARMAX models with regularization for models represented as a linear combination of basis functions. Due to the -norm penalty t…

nlin.CD2017★ 13 cited

Control and Observability Aspects of Phase Synchronization

Luis Antonio Aguirre, Leandro Freitas

This paper addresses important control and observability aspects of the phase synchronization of two oscillators. To this aim a feedback control framework is proposed based on whic…

eess.SY2017★ 19 cited

"Parallel Training Considered Harmful?": Comparing series-parallel and parallel feedforward network training

Antônio H. Ribeiro, Luis A. Aguirre

Neural network models for dynamic systems can be trained either in parallel or in series-parallel configurations. Influenced by early arguments, several papers justify the choice o…

q-bio.NC2017★ 20 cited

Observability and Synchronization of Neuron Models

Luis A. Aguirre, Leonardo L. Portes, Christophe Letellier

Observability is the property that enables to distinguish two different locations in -dimensional state space from a reduced number of measured variables, usually just one. In h…

math.ST2017★ 5 cited

Joint Maximum a Posteriori State Path and Parameter Estimation in Stochastic Differential Equations

Dimas Abreu Archanjo Dutra, Bruno Otávio Soares Teixeira, Luis Antonio Aguirre

In this article, we introduce the joint maximum a posteriori state path and parameter estimator (JME) for continuous-time systems described by stochastic differential equations (SD…