Publications associées à Parameter identification problem

Revisiting the General Identifiability Problem

Negar Kiyavash, Ehsan Mokhtarian, Yaroslav Kivva, Seyed Jalal Etesami

We revisit the problem of general identifiability originally introduced in [Lee et al., 2019] for causal inference and note that it is necessary to add positivity assumption of observational distribution to the original definition of the problem. We show t ...

2022

Frequency stability assessment of modern power systems: Models definition and parameters identification

Mario Paolone, Yihui Zuo, Giacomo Piero Schiapparelli

One of the fundamental concerns in the operation of modern power systems is the assessment of their frequency stability in case of inertia-reduction induced by the large share of power electronic interfaced resources. Within this context, the paper propose ...

2020

Measurement-system design for structural identification

Numa Joy Bertola

In developed countries, the management of existing civil infrastructure is challenging due to evolving functional requirements, aging and climate change. Due to conservative approaches in construction design and practice, infrastructure often has hidden re ...

EPFL2020

Concept of Variants and Invariants for Reaction Systems, with Application to Estimation, Control and Optimization

Diogo Filipe Mateus Rodrigues

The concept of reaction variants and invariants for lumped reaction systems has been known for several decades. Its applications encompass model identification, data reconciliation, state estimation and control using kinetic models. In this thesis, the con ...

EPFL2018

Sensorless Method with Parameter Identification Applied to a Bistable Fast Linear Switched Reluctance Actuator for Textile Machine

Yves Perriard, Douglas Martins Araujo, Faguy Tamwo Simo

This paper provides a sensorless method to control the position of keys passing through a linear actuator used in an industrial textile machine. The presented method describes how to find out the position of the key using two cascading discrete Kalman filt ...

2017

Global Identification of Kinetic Parameters via the Extent-based Incremental Approach

Dominique Bonvin, Julien Léo Billeter, Diogo Filipe Mateus Rodrigues

The identification of reaction kinetics represents the main challenge in building models for reaction systems. The identification task can be performed via either simultaneous model identification (SMI) or incremental model identification (IMI), the latter ...

2017

Parameter identification of a lithium-ion cell single-particle model through non-invasive testing

Mario Paolone, Sidi-Rachid Cherkaoui, Emil Namor, Dimitri Torregrossa

Physics-based models of electrochemical cells are of great interest for the future battery management systems (BMSs), due to their accuracy and capability to predict cell physical states. One of their main disadvantages, when compared to equivalent circuit ...

Elsevier Science Bv2017

Biokinetic Model Identification via Extents of Reaction

Dominique Bonvin, Julien Léo Billeter, Sriniketh Srinivasan

Model structure selection and parameter identification for biokinetic modeling of biological wastewater treatment processes is broadly accepted to be a complicated task. Contributing factors include (i) nonlinear behavior, (ii) lack of knowledge, (iii) lac ...

2016

Two Novel Methods for Parameter Identification of Synchronous Machine Using DC-Decay Test with Rotor in Arbitrary Position

Jean-Jacques Simond, Mai Tu Xuan, Frédéric Michael Maurer

The goal of this paper is to propose and validate standstill DC-Decay measuring methods for a rotor in arbitrary position. The first new method (DC-Decay I) delivers the equivalent circuit with a few measurements. The second new method (DC-Decay III) permi ...

IEEE2016

Biokinetic process model diagnosis with shape-constrained spline functions

Dominique Bonvin, Julien Léo Billeter, Sriniketh Srinivasan

Model-structure identification is important for the optimization and design of biokinetic processes. Standard Monod and Tessier functions are often used by default to describe bacterial growth with respect to a substrate, leading to significant optimizatio ...

2016