SelectedWorks - José Ramos

Contact

Selected Works of José Ramos

Associate Professor

Works
About

×

About José Ramos

Articles (61)

Image Modeling Based on a 2-D Stochastic Subspace System Identification Algorithm (Jose A. Ramos and Guillaume Mercere) Multidimensional Systems and Signal Processing (2017)

Fitting a causal dynamic model to an image is a fundamental problem in image processing, pattern recognition, and computer vision. In image restoration, for instance, the goal is to recover an estimate of the true ...

Subspace Identification 2-D CRSD Roesser Models with Deterministic-Stochastic Inputs: A State Computation Approach (Jose A. Ramos, Ahmed Alenany and Guillaume Mercere) IEEE Transactions on Control Systems Technology (2017)

In this brief, we present a subspace system identification framework for 2-D separable-in-denominator systems with deterministic-stochastic inputs in the Roesser form. The advantage of the proposed framework is that it is based on the computation ...

Machine Learning Barycenter Approach to Identifying LPV State-Space Models (Jose A. Ramos, Paulo Lopes dos Santos, Rodrigo A. Romano, et al.) Proceedings of the American Control Conference (2016)

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 and enables model estimation to be ...

Innovation-Based Subspace Identification in Open- and Closed-Loop (Jose A. Ramos, Guillaume Mercere and Ivan Markovsky) IEEE Conference on Decision and Control (2016)

The applicability of subspace-based system identification methods highly depends on the disturbances acting on the system. It is well-known, e.g., that the standard implementations of the MOESP, N4SID or CVA algorithms yield biased estimates when ...

Subspace Algorithm for Identifying Bilinear Repetitive Processes with Deterministic Inputs (Jose A. Ramos, Eric Rogers, Paulo Lopes dos Santos, et al.) European Control Conference (2016)

In this paper we introduce a bilinear repetitive process and present an iterative subspace algorithm for its identification. The advantage of the proposed approach is that it overcomes the “curse of dimensionality”, a hurdle commonly ...

Subspace Algorithms for Identifying Separable-In-Denominator 2-D Systems with Deterministic-Stochastic Inputs (Jose A. Ramos and Guillaume Mercere) International Journal of Control (2016)

In this paper, we present an algorithm for identifying two-dimensional (2D) causal, recursive and separable-in-denominator (CRSD) state-space models in the Roesser form with deterministic–stochastic inputs. The algorithm implements the N4SID, PO-MOESP and CCA methods, which ...

Deriving Mechanical Structures in Physical Coordinates from Data-Driven State-Space Realizations (Jose A. Ramos, Paulo Lopes dos Santos, Teresa Paula Azevedo Perdicoulis, et al.) Proceedings of the American Control Conference (2015)

In this article, the problem of deriving a physical model of a mechanical structure from an arbitrary state-space realization is addressed. As an alternative to finite element formulations, the physical parameters of a model may ...

Identification of Parameterized Gray-Box State-Space Systems: From a Black-Box Linear Time-Invariant Representation to a Structured One (Jose A. Ramos, Guillaume Mercere and Olivier Prot) IEEE Transactions on Automatic Control (2014)

While determining the order as well as the matrices of a black-box linear state-space model is now an easy problem to solve, it is well-known that the estimated (fully parameterized) state-space matrices are unique modulo ...

LPV System Identification Using a Separable Least Squares Support Vector Machines Approach (Jose A. Ramos, Paulo Lopes dos Santos, Teresa Paula Azevedo Perdicoulis, et al.) IEEE Conference on Decision and Control (2014)

In this article, an algorithm to identify LPV State Space models for both continuous-time and discrete-time systems is proposed. The LPV state space system is in the Companion Reachable Canonical Form. The output vector coefficients ...

Identification of Affine Linear Parameter Varying Models for Adaptive Interventions in Fibromyalgia Treatment (Jose A. Ramos, Paulo Lopes dos Santos, Sunil Deshpande, et al.) Proceedings of the American Control Conference (2013)

There is good evidence that naltrexone, an opioid antagonist, has a strong neuroprotective role and may be a potential drug for the treatment of fibromyalgia. In previous work, some of the authors used experimental clinical ...

Identification of LPV State Space Systems by a Separable Least Squares Approach (Jose A. Ramos, Paulo Lopes dos Santos, Teresa Paula Azevedo Perdicoulis, et al.) IEEE Conference on Decision and Control (2013)

In this article, an algorithm to identify LPV State Space models is proposed. The LPV State Space system is in the companion reachable canonical form. Both the state matrix and the output vector coefficients are ...

A Local Approach Framework for Black-Box and Gray-Box LPV System Identification (Jose A. Ramos, Guillaume Mercere, Olivier Prot, et al.) European Control Conference (2013)

This paper presents a comparison of two techniques dedicated to the identification of LPV systems by using local experiments only. Such an approach can be justified by the fact that, in many practical cases, exciting ...

Continuous-Time IO Systems Identification through Downsampled Models (Jose A. Ramos, Paulo Lopes dos Santos, Teresa Paula Azevedo Perdicoulis, et al.) European Control Conference (2013)

An indirect downsampling approach for continuous-time input/output system identification is proposed. This modus operandi was introduced to system identification through a subspace algorithm, where the input/output data set is partitioned into lower rate m subsets. ...

Identifying Second-Order Models of Mechanical Structures in Physical Coordinates: An Orthogonal Complement Approach (Jose A. Ramos, Guillaume Mercere and Olivier Prot) European Control Conference (2013)

The problem of identifying the mass, damping, and stiffness matrices of a mechanical structure is a well known constrained system identification problem in the literature. The constraints come from the symmetry of the mass, damping, ...

Identification of a Benchmark Wiener-Hammerstein: A Bilinear and Hammerstein–Bilinear Model Approach (Jose A. Ramos, Paulo Lopes dos Santos and Jorge L. Martins de Carvalho) Control Engineering Practice (2012)

In this paper the Wiener–Hammerstein Benchmark is identified as a bilinear discrete system. The bilinear approximation relies on both facts that the Wiener–Hammerstein system can be described by a Volterra series which can be approximated ...

A Null-Space-Based Technique for the Estimation of Linear-Time Invariant Structured State-Space Representations (Jose A. Ramos, Olivier Prot and Guillaume Mercere) IFAC Proceedings Volumes (2012)

Estimating the order as well as the matrices of a linear state-space model is now an easy problem to solve. However, it is well-known that the state-space matrices are unique modulo a non-singular similarity transformation ...

Identification of LPV Systems with Non-White Noise Scheduling Sequences (Jose A. Ramos, Paulo Lopes dos Santos, Teresa Paula Azevedo Perdicoulis, et al.) IFAC Proceedings Volumes (2012)

We address the identification of discrete-time linear parameter varying systems in the state-space form with affine parameter dependence. In previous work, some of the authors have addressed this problem and an iterative algorithm that avoids ...

Parametric Modeling for Estimating Abnormal Intra-QRS Potentials in Signal-Averaged Electrocardiograms: A Subspace Identification Approach (Jose A. Ramos and Paulo Lopes dos Santos) IFAC Proceedings Volumes (2012)

This paper addresses the detection and classification of low amplitude signals within the QRS complex of the signal-averaged electrocardiogram. Linear and bilinear Kalman filter models are fitted using the subspace system identification family of algorithms. ...

A Subspace Algorithm for Identifying 2-D CRSD Systems with Deterministic Inputs (Jose A. Ramos, Paulo Lopes dos Santos, Ahmed Alenany, et al.) IEEE Conference on Decision and Control and European Control Conference (2011)

In this paper, the class of subspace system identification algorithms is used to derive a new identification algorithm for 2-D causal, recursive, and separable-in-denominator (CRSD) state space systems in the Roesser model form. The algorithm ...

Indirect Continuous-Time System Identification - A Subspace Downsampling Approach (Jose A. Ramos, Paulo Lopes dos Santos, Teresa Paula Azevedo Perdicoulis, et al.) 50th IEEE Conference on Decision and Control and European Control Conference (2011)

This article presents a new indirect identification method for continuous-time systems able to resolve the problem of fast sampling. To do this, a Subspace IDentification Down-Sampling (SIDDS) approach that takes into consideration the intermediate sampling ...

Leakage Detection and Location in Gas Pipelines Through an LPV Identification Approach (Jose A. Ramos, Paulo Lopes dos Santos, Teresa Paula Azevedo Perdicoulis, et al.) Communications in Nonlinear Science and Numerical Simulation (2011)

A new approach to gas leakage detection in high pressure distribution networks is proposed, where two leakage detectors are modelled as a linear parameter varying (LPV) system whose scheduling signals are, respectively, intake and offtake ...

Subspace System Identification of Separable-in-Denominator 2-D Stochastic Systems (Jose A. Ramos and Paulo Lopes dos Santos) 50th IEEE Conference on Decision and Control and European Control Conference (2011)

The fitting of a causal dynamic model to an image is a fundamental problem in image processing, pattern recognition, and computer vision. There are numerous other applications that require a causal dynamic model, such as ...

An LPV Modeling and Identification Approach to Leakage Detection in High Pressure Natural Gas Transportation Networks (Jose A. Ramos, Paulo Lopes dos Santos, Teresa Paula Azevedo Perdicoulis, et al.) IEEE Transactions on Control Systems Technology (2011)

In this paper a new approach to gas leakage detection in high pressure natural gas transportation networks is proposed. The pipeline is modelled as a Linear Parameter Varying (LPV) System driven by the source node ...

Subspace Algorithms for Identifying Separable-in-Denominator Two-Dimensional Systems with Deterministic Inputs (Jose A. Ramos, Ahmed Alenany, H. Shang, et al.) IET Control Theory and Applications (2011)

The class of subspace system identification algorithms is used here to derive new identification algorithms for 2-D causal, recursive, and separable-in-denominator (CRSD) state space systems in the Roesser form. The algorithms take a known deterministic ...

A Lumped Transfer Function Model for High Pressure Gas Pipelines (Jose A. Ramos, Paulo Lopes dos Santos, Teresa Paula Azevedo Perdicoulis, et al.) 49th IEEE Conference on Decision and Control (2010)

In this paper a lumped transfer function (TF) model is derived for High Pressure Natural Gas Pipelines. Departing from a nonlinear partial differential equation (PDE) model a high order continuous state space (SS) linear model ...