Instrumental variable methods for identifying partial differential equation models, International Journal of Control, 2013. ,
Instrumental variable methods for identifying partial differential equation models of distributed parameter systems, IFAC Symposium on System Identification, pp.840-845, 2012. ,
Identification of LPV partial differential equation models, 52nd IEEE Conference on Decision and Control, 2013. ,
DOI : 10.1109/CDC.2013.6760590
URL : https://hal.archives-ouvertes.fr/hal-00861956
Instrumental variable methods for identifying partial differential equation models of distributed parameter systems, IFAC Symposium on System Identification, pp.840-845, 2012. ,
Identification of Box-Jenkins models for Parameter-Varying Spatially Interconnected systems, Proceedings of the 2011 American Control Conference, pp.145-150, 2011. ,
DOI : 10.1109/ACC.2011.5991133
Consistent identification of spatially interconnected systems, Proceedings of the 2011 American Control Conference, pp.3583-3588, 2011. ,
DOI : 10.1109/ACC.2011.5991360
Consistent identification of two-dimensional systems, American Control Conference Baltimore USA, pp.3464-3469, 2010. ,
Identification of LPV models for spatially varying interconnected systems, Proceedings of the 2010 American Control Conference, pp.3889-3894, 2010. ,
DOI : 10.1109/ACC.2010.5530658
Nonlinear partial differential equations in engineering Mathematics in science and engineering : a series in monographs and textbooks, 1972. ,
Utilisation de mod??les d'identification non entiers pour la r??solution de probl??mes inverses en conduction, International Journal of Thermal Sciences, vol.39, issue.3, pp.374-389, 2000. ,
DOI : 10.1016/S1290-0729(00)00220-9
LPV approximation of distributed parameter systems in environmental modelling. Environmental Modelling and Software, pp.1063-1070, 2005. ,
Time series analysis forecasting and control, 1970. ,
Estimation Techniques for Distributed Parameter Systems, 1992. ,
DOI : 10.1007/978-1-4612-3700-6
Parameter identification in linear distributed parameter systems, IEEE Transactions on Automatic Control, vol.18, issue.6, pp.18677-679, 1973. ,
DOI : 10.1109/TAC.1973.1100433
Functional analysis, Sobolev spaces and partial differential equations, 2010. ,
The one-dimensional heat equation, 1984. ,
Sur unprobì eme d'unicité pour les systèmes d'´ equations aux dérivées partiellesàpartiellesà deux variables indépendantes. Almqvist & Wiksell Identification of coupled map lattice models of complex spatio-temporal patterns, Physics Letters A, vol.287, pp.65-73, 1939. ,
Identification of finite dimensional models of infinite dimensional dynamical systems, Automatica, vol.38, issue.11, pp.1851-1865, 2002. ,
DOI : 10.1016/S0005-1098(02)00099-7
An original differentiation tool for identification on continuous structures, Journal of Sound and Vibration, vol.332, issue.13, pp.3338-3350, 2013. ,
DOI : 10.1016/j.jsv.2013.01.022
URL : https://hal.archives-ouvertes.fr/hal-00807827
Numerical Solution of Partial Differential Equations by the Finite Element Method, 1987. ,
Transfer functions of distributed parameter systems: A tutorial, Automatica, vol.45, issue.5, pp.1101-1116, 2009. ,
DOI : 10.1016/j.automatica.2009.01.008
A practical method for numerical evaluation of solutions of partial differential equations of the heat-conduction type, Mathematical Proceedings of the Cambridge Philosophical Society, vol.42, issue.01, pp.50-67, 1947. ,
DOI : 10.1098/rsta.1927.0008
Understanding flying insect dispersion: Multiscale analyses of fragmented landscapes, Ecological Informatics, vol.14, 2013. ,
DOI : 10.1016/j.ecoinf.2012.11.004
URL : https://hal.archives-ouvertes.fr/hal-00818381
Continuous-time identification of SISO systems using Laguerre functions, IEEE Transactions on Signal Processing, vol.47, issue.2, pp.349-362, 1999. ,
DOI : 10.1109/78.740121
An Introduction to Infinite-Dimensional Linear Systems Theory, Mathematics Subject Classifications, vol.21, 1991. ,
DOI : 10.1007/978-1-4612-4224-6
Auxiliary model-based least-squares identification methods for Hammerstein output-error systems, Systems & Control Letters, vol.56, issue.5, pp.4015-4020, 2011. ,
DOI : 10.1016/j.sysconle.2006.10.026
Errors in variables. Review of the international statistical institute, pp.23-32, 1954. ,
System identification -Parameter and state estimation, 1974. ,
Parameter identification and application of a distributed parameter coupled system with a movable inner boundary, Computers & Mathematics with Applications, vol.62, issue.11, pp.4015-4020, 2011. ,
DOI : 10.1016/j.camwa.2011.09.035
Identification of Partial Differential Equation Models for Continuous Spatio-Temporal Dynamical Systems, IEEE Transactions on Circuits and Systems II: Express Briefs, vol.53, issue.8, pp.657-661, 2006. ,
DOI : 10.1109/TCSII.2006.876464
Identification and analysis of spatio-temporal dynamical systems using wavelets, International Journal of Systems Science, vol.166, issue.3, pp.315-334, 2008. ,
DOI : 10.1103/PhysRevLett.78.4297
Instrumental variable methods for continuous-time model identification in closed-loop, American Control Conference, 2004. ,
Developments for the Matlab CONTSID toolbox, 13th IFAC Symposium on System Identification (SYSID'2003), pp.1007-1012, 2003. ,
URL : https://hal.archives-ouvertes.fr/hal-00109102
The CONTSID toolbox for Matlab: extensions and latest developments, 15th IFAC Symposium on System Identification, 2009. ,
DOI : 10.3182/20090706-3-FR-2004.00122
URL : https://hal.archives-ouvertes.fr/hal-00406485
CONTSID : a Matlab toolbox for direct continuous-time model identification from sampled data, Angers, 2006. ,
URL : https://hal.archives-ouvertes.fr/hal-00085571
Instrumental variable methods for closed-loop continuous-time model identification. Identification of continuous-time models from sampled data, pp.133-160, 2008. ,
URL : https://hal.archives-ouvertes.fr/hal-00161985
On the determination of a differential equation from its spectral function, Amer. Math. Soc. Transl, vol.1, pp.253-304, 1955. ,
CONTSID : a continuous-time system identification toolbox for Matlab, 5th European Control Conference (ECC'99), 1999. ,
The CONTSID toolbox : a Matlab toolbox for CONtinuous-Time System IDentification, 12th IFAC Symposium on System Identification (SYSID'2000), 2000. ,
Modélisation du transfert d'un polluant conservatif dans un ruisseau périurbain : comparaisons et mises en oeuvre de différents modèles, 2010. ,
Instrumental variable methods for closed-loop system identification, Automatica, vol.41, issue.2, pp.241-249, 2005. ,
DOI : 10.1016/j.automatica.2004.09.016
URL : https://hal.archives-ouvertes.fr/hal-00089684
Identification of continuous-time models from sampled data, chapter Direct identification of continuous-time models from sampled data : issues, basic solutions and relevance, pp.1-30, 2008. ,
What does continuous-time model identification have to offer?, 16th IFAC Symposium on System Identification, pp.810-815 ,
DOI : 10.3182/20120711-3-BE-2027.00233
URL : https://hal.archives-ouvertes.fr/hal-00751733
The advantages of directly identifying continuous-time transfer function models, special issue on Applications of Continuous-Time Model Identification and Estimation, 2013. ,
URL : https://hal.archives-ouvertes.fr/hal-00996639
lectures on Cauchy's problems in linear partial differential equations, 1923. ,
La bo??tèbo??tè a outils CONTSID d'identification de modèlesmodèlesà temps continu -Extensions récentes, Conférence Internationale Francophone d'Automatique (CIFA'2002), pp.8-10, 2002. ,
Inverse source problem in a one-dimensional evolution linear transport equation with spatially varying coefficients: application to surface water pollution, Inverse Problems in Science and Engineering, vol.8, issue.6, 2013. ,
DOI : 10.1090/S0025-5718-1992-1106979-0
Identification of distributedparameter systems with missing data, IEEE International Conference on Control Applications, Part of 2012 IEEE Multi-Conference on Systems and Control, pp.1014-1019, 2012. ,
Fast Positive Deconvolution of Hyperspectral Images, IEEE Transactions on Image Processing, vol.22, issue.2, pp.828-833, 2013. ,
DOI : 10.1109/TIP.2012.2216280
URL : https://hal.archives-ouvertes.fr/hal-00730503
Identification of the diffusion coefficient in a onedimensional parabolic equation Inverse problems Identification of continuous-time models, Isakov. Inverse source problems, pp.665-680887, 1990. ,
Identification of transport coefficient models in convection-diffusion equations Distributed parameter system identification-A survey, Klibanov. Inverse problems and carleman estimates. Inverse problemsLau10] V. Laurain. ContributionsàContributionsà l'identification de modèles paramétriques non linéaires, pp.303-327575, 1977. ,
ApplicationàApplicationà la modélisation de bassins versants ruraux UFR-Faculté des sciences et technologies Ecole Doctorale IAEM Lorraine, Octobre 2010 Finite volume methods for hyperbolic problems, 2002. ,
Refined instrumental variable methods for identification of Hammerstein continuous-time Box-Jenkins models, 2008 47th IEEE Conference on Decision and Control, 2008. ,
DOI : 10.1109/CDC.2008.4738853
URL : https://hal.archives-ouvertes.fr/hal-00334463
Grey-box Identification of Distributed Parameter Systems Theory for the user Upper Saddle River Periodic solutions of periodic delay lotka?volterra equations and systems Modeling of distributed parameter systems for applications-A synthesized review from time-space separation Spatio-Temporal Modeling of Nonlinear Distributer Parameter Systems, volume 50 of Intelligent Systems, Control and Automation : Science and Engineering Direct identification of continuoustime linear parameter-varying input/output models Iterative least-squares parameter estimation for arma pulse response and output disturbance, Lju99] L. Ljung. System Identification, pp.959-967260, 1982. ,
TUTORIAL ON SYSTEM IDENTIFICATION USING FRACTIONAL DIFFERENTIATION MODELS, 14th IFAC Symposium on System Identification, pp.606-611, 2006. ,
DOI : 10.3182/20060329-3-AU-2901.00093
URL : https://hal.archives-ouvertes.fr/hal-00180699
A method for estimating discrete-time transfer functions Regularisation aspects in continuous-time model identification, Advances in Computer Control, Second UKAC Control Convention, pp.197-208, 1967. ,
PDE estimation techniques for advanced battery management systems — Part I: SOC estimation, 2012 American Control Conference (ACC), pp.559-565, 2012. ,
DOI : 10.1109/ACC.2012.6315019
Traffic Current Fluctuation and the Burgers Equation, Japanese Journal of Applied Physics, vol.17, issue.5, pp.811-816, 1978. ,
DOI : 10.1143/JJAP.17.811
Numerical Solution of Partial Differential Equations, 2005. ,
System Identification Using Fractional Models: State of the Art, Volume 5: 6th International Conference on Multibody Systems, Nonlinear Dynamics, and Control, Parts A, B, and C, pp.1-10, 2007. ,
DOI : 10.1115/DETC2007-35332
URL : https://hal.archives-ouvertes.fr/hal-00182374
Analysis of constructed treatment wetland hydraulics with the transient storage model OTIS, Nak93] S. Nakagiri. Reviw of japanese work of the last ten years on identifiabilty in distributed parameter systems. Inverse problems, pp.211-222143, 1993. ,
DOI : 10.1016/S0925-8574(03)00029-6
Stochastic differential equations [Per09] A. Perasso. Identifiabilté de paramètres pour des systèmes décrits par deséquationsdeséquations aux dérivées partielles. ApplicationàApplicationà la dynamique des populations, 2003. ,
Identification and control of an open-flow canal using LPV models, Proceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference, pp.1893-1898, 2005. ,
Box???Jenkins continuous-time modeling, Automatica, vol.36, issue.7, pp.983-991, 2000. ,
DOI : 10.1016/S0005-1098(00)00002-9
Data-based mechanistic modelling and control of mass and energy transfer in agricultural buildings, Annual reviews in Control, vol.23, pp.71-82, 1999. ,
Least squares parameter estimation of continuous-time ARX models from discrete-time data, IEEE Transactions on Automatic Control, vol.42, issue.5, pp.659-673, 1997. ,
DOI : 10.1109/9.580871
Instrumental variable methods for identifying partial differential equation models of distributed parameter systems, IFAC Symposium on System Identification, pp.840-845 ,
DOI : 10.3182/20120711-3-BE-2027.00421
URL : https://hal.archives-ouvertes.fr/hal-00761659
Instrumental variable methods for identifying partial differential equation models, International Journal of Control, vol.16, issue.12, 2013. ,
DOI : 10.1080/00207178008961080
URL : https://hal.archives-ouvertes.fr/hal-00869215
Identification of LPV partial differential equation models, 52nd IEEE Conference on Decision and Control, 2013. ,
DOI : 10.1109/CDC.2013.6760590
URL : https://hal.archives-ouvertes.fr/hal-00861956
A technique for the identification of linear systems, IEEE Transactions on Automatic Control, vol.10, issue.4, pp.461-464, 1965. ,
DOI : 10.1109/TAC.1965.1098181
Identification of linear systems. A practical guideline to accurate modeling, 1991. ,
Instrumental Variable Methods for System Identification, 1983. ,
DOI : 10.1007/BFb0009019
Parameter estimation of two-dimensional linear differential systems via Fourier based modulation function, World IFAC Congress, vol.17, issue.1, pp.14385-14390, 2008. ,
System identification of two-dimensional continuous-time systems using wavelets as modulating functions, ISA Transactions, vol.47, pp.256-266, 2008. ,
Parameter identification of distributed parameter systems in the presence of measurement noise, International Journal of Systems Science, vol.19, issue.8, pp.1391-1401, 1991. ,
DOI : 10.1016/0005-1098(81)90087-X
IDENTIFICATION OF SYSTEM PARAMETERS IN DISTRIBUTED PARAMETER SYSTEMS, World IFAC congress, p.3, 1990. ,
DOI : 10.1016/B978-0-08-041263-4.50081-6
Parameter estimation of distributed-parameter systems under noisy measurements, Systems Science, vol.16, issue.4, pp.57-70, 1990. ,
On some instrumental variable-based methods for errors-in-variables model identification, 17th Triennial World IFAC Congress on Automatic Control, 2008. ,
Prediction error identification of LPV systems : present and beyond, Control of Linear Parameter Varying Systems with Applications, pp.27-60, 2012. ,
Introduction to image reconstruction and inverse problems, Proceedings of the NATO Advanced Study Institute on Optics in Astrophysics, 2005. ,
Model structure learning: A support vector machine approach for LPV linear-regression models, IEEE Conference on Decision and Control and European Control Conference, pp.3192-3197, 2010. ,
DOI : 10.1109/CDC.2011.6160564
A Matlab software framework for dynamic model emulation . Environmental Modelling and Software, pp.19-29, 2012. ,
Nonminimal state space approach to multivariable ramp metering control of motorway bottlenecks, Proceedings of the Institution of Electrical Engineers, pp.568-574, 1998. ,
DOI : 10.1049/ip-cta:19982383
Walsh series approach to lumped and distributed system identification, Journal of the Franklin Institute, vol.305, issue.4, pp.199-220, 1978. ,
An assessment of DBM flood forecasting models, Proceedings of the ICE -Water Management, pp.105-120, 2012. ,
DOI : 10.1680/wama.2012.165.2.105
An introduction to stochastic partial differential equations, 1986. ,
Experimental investigation of the aggregated dead zone model for longitudinal solute transport in stream channels, Proc. Inst. of Civil Engrs, vol.87, issue.2, pp.1-22, 1989. ,
Identification of continuous-time models from sampled data, chapter Refined instrumental variable identification of continuous-time hybrid Box-Jenkins models, pp.91-132, 2008. ,
Refined instrumental variable methods of recursive time-series analysis Part III. Extensions, Theory of Self Adaptive Control Systems, pp.741-764, 1966. ,
DOI : 10.1080/00207178008961080
Applying parameter estimation to dynamic systems : Part II -applications, Control Engineering, vol.16, issue.11, pp.118-124, 1969. ,
An instrumental variable method for real-time identification of a noisy process, Automatica, vol.6, pp.271-287, 1970. ,
Some observations on instrumental variable methods of time-series analysis, International Journal of Control, vol.23, pp.593-612, 1976. ,
Recursive estimation and time-series analysis, 1984. ,
Recursive Estimation and Time-series Analysis : An Introduction for the Student and Practitioner, 2011. ,