3 citations · 4 across the 5 of their papers we have counts for
5 papers
Computation of the State Bias and Initial States for Stochastic State Space Systems in the General 2-D Roesser Model Form
José A. Ramos, Guillaume Mercère
Recently \cite{Ramos2017a} presented a subspace system identification algorithm for 2-D purely stochastic state space models in the general Roesser form. However, since the exact p…
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…
Identification of parameterized gray-box state-space systems: from a black-box linear time-invariant representation to a structured one: detailed derivation of the gradients involved in the cost functions
Guillaume Mercère, José Ramos, Olivier Prot
Estimating consistent parameters of a structured state-space representation requires a reliable initialization when the vector of parameters is computed by using a gradient-based a…
A note on the state-space realizations equivalence
P. Lopes dos Santos, J. A. Ramos, T-P Azevedo Perdicoúlis +1
In this note we resolve the problem of getting a state-space realization compatible with the deterministic state-space realization and the filtering problem.
Derivation of a transfer function model for a high pressure pipeline
P. Lopes dos Santos, T-P Azevedo Perdicoúlis, J. A. Ramos +2
In this report a lumped transfer function model for High Pressure Natural Gas Pipelines is derived. Starting with a partial nonlinear differential equation (PDE) model a high order…