Concept

Nonlinear system identification

Related publications (84)

Subtilin Production by Bacillus Subtilis: Stochastic Hybrid Models and Parameter Identification

This paper presents methods for the parameter identification of a model of subtilin production by Bacillus subtilis. Based on a stochastic hybrid model, identification is split in two subproblems: estimation of the genetic network regulating subtilin produ ...

2008

An intelligent system for predicting HPDC process variables in interactive environment

Paul Xirouchakis, Jitender Kumar Rai

The selection of optimal parameters in high pressure die casting process (HPDC) has been long recognized as a complex nonlinear problem due to the involvement of a large number of interconnected process variables, each influencing the flow behavior of molt ...

Elsevier2008

Mechanistic interpretation of Alpine glacierized environments: Part 2. Hydrologic interpretation and model parameters identification on case study

Paolo Perona

The differential model MIAGE (see "Mechanistic Interpretation of Alpine Glacierized Environments: Part 1. Model formulation and related dynamical properties" by Perona and Burlando, this issue) is analyzed in this work with the purpose of: (i) showing the ...

Elsevier2008

Calibration of high-precision flexure parallel robots

Nuno Ricardo Fazenda Carrico

Over the last decades, calibration techniques have been widely used in robotics since they represent a cost-effective solution for improving the accuracy of robots and machine-tools. They only involve software modification without the necessity of revising ...

EPFL2007

Measurement-based optimization of batch processes with terminal constraint

Carsten Welz

This thesis deals with dynamic optimization of batch processes, i.e. processes that are characterized by a finite time of operation and the frequent repetition of batches. The objective is to maximize the quantity of the desired product at final time while ...

EPFL2007

Myocardial perfusion assessment by use of system identification method in a one-compartment model

Philippe Thévenaz, Michel Kocher

Cardiovascular magnetic resonance has been shown to provide high data quality for myocardial perfusion assessment However, to analyze the perfusion data, some signal processing and modeling is needed to correct for motion related artifacts and limited spat ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2007

Myocardial Perfusion Assessment by Use of System Identification Method in a One-Compartment Model

Philippe Thévenaz, Michel Kocher

Cardiovascular magnetic resonance has been shown to provide high data quality for myocardial perfusion assessment. However, to analyze the perfusion data, some signal processing and modeling is needed to correct for motion related artifacts and limited spa ...

IEEE2007

Parameter identification for stochastic hybrid models of biological interaction networks

Giancarlo Ferrari Trecate

Based on a model of subtilin production by Bacillus subtilis, in this paper we discuss the parameter identification of stochastic hybrid dynamics that are typically found in biological regulatory networks. In accordance with the structure of the model, ide ...

2007

Parameter Identification to Enforce Practical Observability of Nonlinear Systems

Dominique Bonvin, Levente Bodizs

The sensitivity of the unmeasured state variables to the measurements strongly affects the rate of convergence of a state estimation algorithm. To overcome potential observability problems, the approach has been to identify the model parameters so as to re ...

2007

Flying over the Reality Gap: From Simulated to Real Indoor Airships

Dario Floreano, Jean-Christophe Zufferey, Antoine Beyeler

Because of their ability to naturally float in the air, indoor airships (often called blimps) constitute an appealing platform for research in aerial robotics. However, when confronted to long lasting experiments such as those involving learning or evoluti ...

2006

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