Hugues Garnier | University of Lorraine (original) (raw)

Papers by Hugues Garnier

HAL (Le Centre pour la Communication Scientifique Directe), Dec 16, 2009

This article presents an instrumental variable method dedicated to non-linear Hammerstein systems... more This article presents an instrumental variable method dedicated to non-linear Hammerstein systems operating in closed loop. The linear process is a Box-Jenkins model and the non-linear part is a sum of known basis functions. The performance of the proposed algorithm is illustrated by a numerical example.

IEEE Conference Proceedings, 2016

HAL (Le Centre pour la Communication Scientifique Directe), Dec 6, 2007

La presentation traite de l'identification de modeles a derivees fractionnaires dans un conte... more La presentation traite de l'identification de modeles a derivees fractionnaires dans un contexte de sortie bruitee. La methode de variable instrumentale dite "simplified refined instrumental variable (srivc)" est etendue aux modeles fractionnaires. Cet estimateur de variable instrumentale comprend un pre-filtrage adaptatif fonde sur la solution optimale lorsque le bruit additif de sortie est blanc gaussien et a fait ses preuves dans un cadre applicatif. Les problemes lies a la mise de oeuvre de l'algorithme sont discutes et les performances de l'estimateur propose sont illustrees a l'aide de simulations de Monte Carlo.

HAL (Le Centre pour la Communication Scientifique Directe), Mar 14, 2022

In the last decade, soil imperviousness has been one of the main urban issues in North Europe. In... more In the last decade, soil imperviousness has been one of the main urban issues in North Europe. In case of strong rain events, runoff can lead to the discharge of high volume of water and can cause water system saturation. Among all urban-water regulation systems, Green Roofs (GR) can be used to store and delay the release of rainwater to sewers [3]. GR are also considered as a sustainable solution that offers benefits such as building insulation, urban heat island cooling during summer and air pollution control.

IFAC-PapersOnLine, 2021

Green roofs are a sustainable solution to manage water runoff from rain events in urban areas. Mo... more Green roofs are a sustainable solution to manage water runoff from rain events in urban areas. Modeling hydrological phenomenon of green roofs is challenging because of the difficulties to characterize the soil parameters, inducing uncertainties on these parameters. Soil parameter uncertainties spread in the model and need to be analysed to better understand the dynamics of the water retention. For this purpose, the water retention capacity is represented by the Van Genuchten-Mualem model and sensitivity analysis is performed. Different methods of sensitivity analysis are considered to quantify effects of parameter uncertainties on the water retention capacity. The results of this study highlight the most influential soil parameters of the substrate on the water retention capacity.

DOI to the publisher's website. • The final author version and the galley proof are versions of t... more DOI to the publisher's website. • The final author version and the galley proof are versions of the publication after peer review. • The final published version features the final layout of the paper including the volume, issue and page numbers. Link to publication General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal. If the publication is distributed under the terms of Article 25fa of the Dutch Copyright Act, indicated by the "Taverne" license above, please follow below link for the End User Agreement:

In this paper, a new bias-compensating least-squares method is presented for the identification o... more In this paper, a new bias-compensating least-squares method is presented for the identification of linear, single-input single-output, discrete-time systems in which the output is corrupted by an additive coloured noise. It is well known that the ordinary least-squares method may lead to biased or nonconsistent estimates of system parameters in the presence of disturbances. The bias problem may be solved,

IFAC Proceedings Volumes, 2009

This paper describes optimal instrumental variable methods for identifying discretetime transfer ... more This paper describes optimal instrumental variable methods for identifying discretetime transfer function models when the system operates in closed-loop. Several noise models required for the design of optimal prefilters and instruments are analyzed and different approaches are developed according to whether the controller is known or not. Moreover, a new optimal refined instrumental variable technique is developed to handle the identification of a linear (ARX) predictor combined with an ARMA noise model in a closed-loop framework. The proposed refined instrumental variable algorithm achieves minimum variance estimation of the process model parameters. The performance of the proposed approaches is evaluated by Monte-Carlo analysis in comparison with other alternative closed-loop estimation methods.

IEEE Conference Proceedings, 2016

HAL (Le Centre pour la Communication Scientifique Directe), Mar 29, 2006

The identification and estimation of rainfall-flow models is one of the most challenging problems... more The identification and estimation of rainfall-flow models is one of the most challenging problems in hydrology. This paper presents the results of direct continuous-time identification and estimation of a rainfall-flow model for the Canning, an ephemeral river in Western Australia, based on daily sampled data. It compares simplified and full implementations of the optimal instrumental variable algorithm used in the application and discusses the advantages of this direct method when compared with the alternative indirect approach to the problem based on discrete-time model estimation.

IFAC Proceedings Volumes, 2013

This paper presents an instrumental variable method for identifying advectiondiffusion equation m... more This paper presents an instrumental variable method for identifying advectiondiffusion equation models in presence of output measurement noise. This partial differential equation is commonly used to describe the transport and dispersion of a solute in a river channel. The realistic measurement situation where spatial data are limited and non-uniformly distributed is considered. A refined instrumental variable method involving adaptive data filtering is proposed to handle the non-uniformly spatial data distribution. The performance of the proposed approach are illustrated by a numerical example.

IFAC Proceedings Volumes, Jul 1, 2012

This paper presents instrumental variable methods for identifying partial differential equation m... more This paper presents instrumental variable methods for identifying partial differential equation models of distributed parameter systems in presence of output measurement noise. Two instrumental variable-based techniques are proposed to handle this continuous-time model identification problem: a basic one using input-only instruments and a more sophisticated refined instrumental variable method. Numerical examples are presented to illustrate and compare the performances of the proposed approaches.

IFAC-PapersOnLine, 2018

The CONtinuous-Time System IDentification (CONTSID) toolbox provides Matlab functions for estimat... more The CONtinuous-Time System IDentification (CONTSID) toolbox provides Matlab functions for estimating continuous-time black-box models of dynamical systems from measured data without having to fully characterize the mathematics governing the system behavior. The toolbox includes tools for standard identification of linear continuous-time models such as simple process, transfer functions and state-space models. The toolbox also provides algorithms for more advanced identification such as errors-invariable (EIV) and closed-loop model estimation or to capture nonlinear system dynamics. This paper presents an overview of the main features of the latest release of the CONTSID toolbox and outlines some recent developments for on-line parameter and time-delay system estimation.

Automatica, Aug 1, 2018

This paper discusses several issues related to the identification of time-delayed continuous-time... more This paper discusses several issues related to the identification of time-delayed continuous-time systems using the refined instrumental variable method. The proposed estimation procedure is iterative where, at each iteration, the rational system parameters and time-delay are estimated separately. The main contribution of this paper covers three aspects. Firstly, conditions for persistent excitation are established, which should be satisfied to guarantee the identifiability of the system parameters and time-delay. Secondly, existence of multiple minima in the loss function is investigated. Due to the nonlinear nature of the loss function to be optimized with respect to the time-delay, initialization is a particularly important issue for correct estimation of the time-delay. Lastly, to reliably initialize the identification algorithm, based on the previous analysis, some guidelines are proposed to facilitate the choice of reliable initial parameters. The main results derived in this paper are verified by means of both theoretical analyses and numerical simulations.

HAL (Le Centre pour la Communication Scientifique Directe), Jun 7, 2022

HAL (Le Centre pour la Communication Scientifique Directe), Sep 30, 2009

This article presents an instrumental variable method dedicated to non-linear Hammerstein systems... more This article presents an instrumental variable method dedicated to non-linear Hammerstein systems operating in closed loop. The linear process is a Box-Jenkins model and the non-linear part is a sum of known basis functions. The performance of the proposed algorithm is illustrated by a numerical example.

I want also to thank Brandon Dravie for his friendship and constant help with paperwork in french... more I want also to thank Brandon Dravie for his friendship and constant help with paperwork in french. Some of the things that I admire from you is your naturalness and good will. After living alone for two years, I decided to move in with Yusuf Bhujwalla and Valentin Pascu. Living together was a great experience and it gave me the opportunity to know you better. Impossible to forget is the rich but fantastic food prepared by Valentin. Regarding domestic affairs where french was required, like calling the agency for problems with the cooker, Yusuf was the man. Thanks a lot guys for everything (specially the good jokes), I have learnt a lot from you. I am also most grateful to Valentin's and Yusuf's girlfriends Nicoleta Melnic and Christelle Dulon for the nice moments that we shared. Outside the lab, I had a great time too. It was sometimes enjoying good food in a restaurant, listening nice music in a party or something else. In this small adventures

HAL (Le Centre pour la Communication Scientifique Directe), Dec 16, 2009

This article presents an instrumental variable method dedicated to non-linear Hammerstein systems... more This article presents an instrumental variable method dedicated to non-linear Hammerstein systems operating in closed loop. The linear process is a Box-Jenkins model and the non-linear part is a sum of known basis functions. The performance of the proposed algorithm is illustrated by a numerical example.

IEEE Conference Proceedings, 2016

HAL (Le Centre pour la Communication Scientifique Directe), Dec 6, 2007

La presentation traite de l'identification de modeles a derivees fractionnaires dans un conte... more La presentation traite de l'identification de modeles a derivees fractionnaires dans un contexte de sortie bruitee. La methode de variable instrumentale dite "simplified refined instrumental variable (srivc)" est etendue aux modeles fractionnaires. Cet estimateur de variable instrumentale comprend un pre-filtrage adaptatif fonde sur la solution optimale lorsque le bruit additif de sortie est blanc gaussien et a fait ses preuves dans un cadre applicatif. Les problemes lies a la mise de oeuvre de l'algorithme sont discutes et les performances de l'estimateur propose sont illustrees a l'aide de simulations de Monte Carlo.

HAL (Le Centre pour la Communication Scientifique Directe), Mar 14, 2022

In the last decade, soil imperviousness has been one of the main urban issues in North Europe. In... more In the last decade, soil imperviousness has been one of the main urban issues in North Europe. In case of strong rain events, runoff can lead to the discharge of high volume of water and can cause water system saturation. Among all urban-water regulation systems, Green Roofs (GR) can be used to store and delay the release of rainwater to sewers [3]. GR are also considered as a sustainable solution that offers benefits such as building insulation, urban heat island cooling during summer and air pollution control.

IFAC-PapersOnLine, 2021

Green roofs are a sustainable solution to manage water runoff from rain events in urban areas. Mo... more Green roofs are a sustainable solution to manage water runoff from rain events in urban areas. Modeling hydrological phenomenon of green roofs is challenging because of the difficulties to characterize the soil parameters, inducing uncertainties on these parameters. Soil parameter uncertainties spread in the model and need to be analysed to better understand the dynamics of the water retention. For this purpose, the water retention capacity is represented by the Van Genuchten-Mualem model and sensitivity analysis is performed. Different methods of sensitivity analysis are considered to quantify effects of parameter uncertainties on the water retention capacity. The results of this study highlight the most influential soil parameters of the substrate on the water retention capacity.

DOI to the publisher's website. • The final author version and the galley proof are versions of t... more DOI to the publisher's website. • The final author version and the galley proof are versions of the publication after peer review. • The final published version features the final layout of the paper including the volume, issue and page numbers. Link to publication General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal. If the publication is distributed under the terms of Article 25fa of the Dutch Copyright Act, indicated by the "Taverne" license above, please follow below link for the End User Agreement:

In this paper, a new bias-compensating least-squares method is presented for the identification o... more In this paper, a new bias-compensating least-squares method is presented for the identification of linear, single-input single-output, discrete-time systems in which the output is corrupted by an additive coloured noise. It is well known that the ordinary least-squares method may lead to biased or nonconsistent estimates of system parameters in the presence of disturbances. The bias problem may be solved,

IFAC Proceedings Volumes, 2009

This paper describes optimal instrumental variable methods for identifying discretetime transfer ... more This paper describes optimal instrumental variable methods for identifying discretetime transfer function models when the system operates in closed-loop. Several noise models required for the design of optimal prefilters and instruments are analyzed and different approaches are developed according to whether the controller is known or not. Moreover, a new optimal refined instrumental variable technique is developed to handle the identification of a linear (ARX) predictor combined with an ARMA noise model in a closed-loop framework. The proposed refined instrumental variable algorithm achieves minimum variance estimation of the process model parameters. The performance of the proposed approaches is evaluated by Monte-Carlo analysis in comparison with other alternative closed-loop estimation methods.

IEEE Conference Proceedings, 2016

HAL (Le Centre pour la Communication Scientifique Directe), Mar 29, 2006

The identification and estimation of rainfall-flow models is one of the most challenging problems... more The identification and estimation of rainfall-flow models is one of the most challenging problems in hydrology. This paper presents the results of direct continuous-time identification and estimation of a rainfall-flow model for the Canning, an ephemeral river in Western Australia, based on daily sampled data. It compares simplified and full implementations of the optimal instrumental variable algorithm used in the application and discusses the advantages of this direct method when compared with the alternative indirect approach to the problem based on discrete-time model estimation.

IFAC Proceedings Volumes, 2013

This paper presents an instrumental variable method for identifying advectiondiffusion equation m... more This paper presents an instrumental variable method for identifying advectiondiffusion equation models in presence of output measurement noise. This partial differential equation is commonly used to describe the transport and dispersion of a solute in a river channel. The realistic measurement situation where spatial data are limited and non-uniformly distributed is considered. A refined instrumental variable method involving adaptive data filtering is proposed to handle the non-uniformly spatial data distribution. The performance of the proposed approach are illustrated by a numerical example.

IFAC Proceedings Volumes, Jul 1, 2012

This paper presents instrumental variable methods for identifying partial differential equation m... more This paper presents instrumental variable methods for identifying partial differential equation models of distributed parameter systems in presence of output measurement noise. Two instrumental variable-based techniques are proposed to handle this continuous-time model identification problem: a basic one using input-only instruments and a more sophisticated refined instrumental variable method. Numerical examples are presented to illustrate and compare the performances of the proposed approaches.

IFAC-PapersOnLine, 2018

The CONtinuous-Time System IDentification (CONTSID) toolbox provides Matlab functions for estimat... more The CONtinuous-Time System IDentification (CONTSID) toolbox provides Matlab functions for estimating continuous-time black-box models of dynamical systems from measured data without having to fully characterize the mathematics governing the system behavior. The toolbox includes tools for standard identification of linear continuous-time models such as simple process, transfer functions and state-space models. The toolbox also provides algorithms for more advanced identification such as errors-invariable (EIV) and closed-loop model estimation or to capture nonlinear system dynamics. This paper presents an overview of the main features of the latest release of the CONTSID toolbox and outlines some recent developments for on-line parameter and time-delay system estimation.

Automatica, Aug 1, 2018

This paper discusses several issues related to the identification of time-delayed continuous-time... more This paper discusses several issues related to the identification of time-delayed continuous-time systems using the refined instrumental variable method. The proposed estimation procedure is iterative where, at each iteration, the rational system parameters and time-delay are estimated separately. The main contribution of this paper covers three aspects. Firstly, conditions for persistent excitation are established, which should be satisfied to guarantee the identifiability of the system parameters and time-delay. Secondly, existence of multiple minima in the loss function is investigated. Due to the nonlinear nature of the loss function to be optimized with respect to the time-delay, initialization is a particularly important issue for correct estimation of the time-delay. Lastly, to reliably initialize the identification algorithm, based on the previous analysis, some guidelines are proposed to facilitate the choice of reliable initial parameters. The main results derived in this paper are verified by means of both theoretical analyses and numerical simulations.

HAL (Le Centre pour la Communication Scientifique Directe), Jun 7, 2022

HAL (Le Centre pour la Communication Scientifique Directe), Sep 30, 2009

This article presents an instrumental variable method dedicated to non-linear Hammerstein systems... more This article presents an instrumental variable method dedicated to non-linear Hammerstein systems operating in closed loop. The linear process is a Box-Jenkins model and the non-linear part is a sum of known basis functions. The performance of the proposed algorithm is illustrated by a numerical example.

I want also to thank Brandon Dravie for his friendship and constant help with paperwork in french... more I want also to thank Brandon Dravie for his friendship and constant help with paperwork in french. Some of the things that I admire from you is your naturalness and good will. After living alone for two years, I decided to move in with Yusuf Bhujwalla and Valentin Pascu. Living together was a great experience and it gave me the opportunity to know you better. Impossible to forget is the rich but fantastic food prepared by Valentin. Regarding domestic affairs where french was required, like calling the agency for problems with the cooker, Yusuf was the man. Thanks a lot guys for everything (specially the good jokes), I have learnt a lot from you. I am also most grateful to Valentin's and Yusuf's girlfriends Nicoleta Melnic and Christelle Dulon for the nice moments that we shared. Outside the lab, I had a great time too. It was sometimes enjoying good food in a restaurant, listening nice music in a party or something else. In this small adventures