V. Laurain, M. Gilson, S. Payraudeau, C. Grégoire, and H. Garnier, A new data-based modelling method for identifying parsimonious nonlinear rainfall/flow models, International Congress on Environmental Modelling and Software, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00508680

V. Laurain, M. Gilson, S. Payraudeau, C. Grégoire, and H. Garnier, Identification de modèles LPV : application à la modélisation pluie/débit d'un bassin versant viticole, Conference Internationale Francophone d'Automatique, 2010.

V. Laurain, M. Gilson, and H. Garnier, Refined instrumental variable methods for identifying hammerstein models operating in closed loop, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference, 2009.
DOI : 10.1109/CDC.2009.5400896

URL : https://hal.archives-ouvertes.fr/hal-00424135

D. Kuss, V. Laurain, H. Garnier, M. Zug, and J. Vasquez, Data-based mechanistic rainfall-runoff continuous-time modelling in urban context, 15th IFAC Symposium on System Identification, 2009.
DOI : 10.3182/20090706-3-FR-2004.00296

URL : https://hal.archives-ouvertes.fr/hal-00406494

H. Garnier, M. Gilson, and V. Laurain, 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

V. Laurain, M. Gilson, H. Garnier, and P. C. Young, 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

R. Tóth, V. Laurain, M. Gilson, and H. Garnier, On the closed loop identification of LPV models using instrumental variables, IFAC Proceedings Volumes, vol.44, issue.1, 2011.
DOI : 10.3182/20110828-6-IT-1002.01853

V. Laurain, M. Gilson, S. Payraudeau, C. Grégoire, and H. Garnier, Data-based modelling of rainfall/runoff relationship in an agricultural catchment, European Geosciences Union General Assembly, 2010.

V. Laurain, M. Gilson, R. Tóth, and H. Garnier, Identification de modèles LPV Box-Jenkins : application à la modélisation de la relation pluie/débit dans un bassin versant rural, 2010.

V. Laurain, M. Gilson, R. Tóth, and H. Garnier, Identification of LPV output-error and Box-Jenkins models via optimal refined instrumental variable methods, Proceedings of the 2010 American Control Conference, 2009.
DOI : 10.1109/ACC.2010.5530665

URL : https://hal.archives-ouvertes.fr/hal-00508682

V. Laurain, M. Gilson, H. Garnier, and P. C. Young, An IV-based method for non-linear continuous- [AG95] P. Apkarian and P. Gahinet. A convex characterization of gain-scheduled H ? controllers, IEEE Trans. on Automatic Control, issue.5, pp.40853-864, 1995.

]. K. Atk89, . Atkinsonaw09-]-h, H. Abbas, and . Werner, An Introduction to Numerical Analysis An instrumental variable technique for open-loop and closedloop identification of input-output LPV models, Proc. of the European Control Conf, pp.2646-2651, 1989.

]. E. Bai98 and . Bai, An optimal two-stage identification algorithm for Hammerstein-Wiener nonlinear systems, Automatica, vol.34, issue.3, pp.333-338, 1998.

]. Bai02a and . Bai, A blind approach to the Hammerstein-Wiener model identification, Automatica, vol.38, issue.6, pp.967-979, 2002.

]. Bai02b and . Bai, Identification of linear systems with hard input nonlinearities of known structure, Automatica, vol.38, issue.5, pp.853-860, 2002.

[. Bai and K. Chan, Identification of an additive nonlinear system and its applications in generalized Hammerstein models, Automatica, vol.44, issue.2, pp.430-436, 2008.
DOI : 10.1016/j.automatica.2007.05.023

]. K. Bev00a, . J. Bevenbev00b-]-k, and . Beven, Rainfall-Runoff Modelling : The Primer Uniqueness of place and process representations in hydrological modelling, Hydrology and earth system sciences, pp.203-213, 2000.

L. [. Bamieh and . Giarré, Identification of linear parameter varying models, Proceedings of the 38th IEEE Conference on Decision and Control, pp.1505-1510, 1999.

L. [. Bamieh and . Giarré, Identification for a general class of LPV models, Proceedings of the 11th IFAC Symposium on System Identification, 2000.

]. B. Bg02a, L. Bamieh, and . Giarré, Identification of linear parameter-varying models, International Journal of Robust and Nonlinear Control, vol.12, pp.841-853, 2002.

]. B. Bg02b, L. Bamieh, and . Giarré, Identification of linear parameter varying models, Int. Journal of Robust and Nonlinear Control, vol.12, pp.841-853, 2002.

S. [. Boukhris, G. Giuliani, and . Mourot, Rainfall???runoff multi-modelling for sensor fault diagnosis, Control Engineering Practice, vol.9, issue.6, pp.659-671, 2001.
DOI : 10.1016/S0967-0661(01)00022-3

B. Butcher, A. Karimi, and R. Longchamp, On the Consistency of Certain Identification Methods for Linear Parameter Varying Systems, Proceedings of the 17th IFAC World Congress, pp.4018-4023, 2008.
DOI : 10.3182/20080706-5-KR-1001.00676

L. [. Bastin, P. Moens, and . Dierickx, Online river flow forecasting with hydromax : successes and challenges after twelve years of experience, proceedings of the 15th IFAC Symposium on System Identification, 2009.

H. [. Boonto and . Werner, Closed-loop system identification of LPV input-output models - application to an arm-driven inverted pendulum, 2008 47th IEEE Conference on Decision and Control, 2008.
DOI : 10.1109/CDC.2008.4739334

D. [. Cerone and . Regruto, Parameter bounds for discrete-time hammerstein models with bounded output errors, IEEE Transactions on Automatic Control, vol.48, issue.10, pp.1855-1860, 2003.
DOI : 10.1109/TAC.2003.817945

T. [. Campi, F. Sugie, and . Sakai, Iterative identification method for linear continuous-time systems, Proceedings of the 45th IEEE Conference on Decision and Control, pp.1661-1669, 2008.
DOI : 10.1109/CDC.2006.377444

B. [. De-bruyne, I. D. Anderson, and . Landau, Recursive identification of nonlinear plants operating in closed loop using kernel representations, Automatica, vol.38, issue.11, pp.2021-2027, 2002.
DOI : 10.1016/S0005-1098(02)00103-6

T. [. Ding and . Chen, Identification of Hammerstein nonlinear ARMAX systems, Automatica, vol.41, issue.9, pp.1479-1489, 2005.
DOI : 10.1016/j.automatica.2005.03.026

I. [. Dugard and . Landau, Recursive output error identification algorithms theory and evaluation, Automatica, vol.16, issue.5, pp.443-462, 1980.
DOI : 10.1016/0005-1098(80)90066-7

]. J. Doo59 and . Dooge, A general theory of the unit hydrograph, Journal of geophysical research, vol.64, pp.241-256, 1959.

C. [. Dettori and . Scherer, LPV design for a CD player: an experimental evaluation of performance, Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228), pp.4711-4716, 2001.
DOI : 10.1109/CDC.2001.980950

Y. [. Ding, T. Shi, and . Chen, Auxiliary model-based least-squares identification methods for Hammerstein output-error systems, Systems & Control Letters, vol.56, issue.5, pp.373-380, 2007.
DOI : 10.1016/j.sysconle.2006.10.026

]. P. Santos, J. A. Ramos, and J. L. De-carvalho, Identification of linear parameter varying systems using an iterative deterministic-stochastic subspace approach

B. [. Fujimoto, F. Anderson, and . De-bruyne, A parametrization for closed-loop identification of nonlinear systems based on differentially coprime kernel representations, Automatica, vol.37, issue.12, pp.1893-1907, 2001.
DOI : 10.1016/S0005-1098(01)00151-0

E. [. Giri and . Bai, Block-oriented nonlinear system identification, 2010.
DOI : 10.1007/978-1-84996-513-2

URL : https://hal.archives-ouvertes.fr/hal-01059742

A. [. Fernando and . Jayawardena, Runoff Forecasting Using RBF Networks with OLS Algorithm, Journal of Hydrologic Engineering, vol.3, issue.3, pp.203-209, 1998.
DOI : 10.1061/(ASCE)1084-0699(1998)3:3(203)

M. Gevers, A. Bazanella, X. Bombois, and L. Mi?kovi?, Identification and the Information Matrix: How to Get Just Sufficiently Rich?, IEEE Transactions on Automatic Control, vol.54, issue.12, pp.2828-2840, 2009.
DOI : 10.1109/TAC.2009.2034199

D. [. Giarré, P. Bauso, B. Falugi, and . Bamieh, LPV model identification for gain scheduling control: An application to rotating stall and surge control problem, Control Engineering Practice, vol.14, issue.4, pp.351-361, 2006.
DOI : 10.1016/j.conengprac.2005.01.013

]. M. Gdh05, P. Gilson, and . Van-den-hof, Instrumental variable methods for closed-loop system identification, Automatica, vol.41, issue.2, pp.241-249, 2005.

]. M. Gev93, H. L. Gevers, J. C. Trentelman, . Willems, and . Birkhäuser-boston, Towards a joint design of identification and control ?, chapter 5, Essay on Control : perspectives in the theory and its applications, pp.111-151, 1993.

]. M. Gev05 and . Gevers, Identification for control : from the early achievements to the revival of experiment design, European Journal of Control, vol.11, issue.4-5, pp.335-352, 2005.

]. M. Gev06 and . Gevers, A personal view of the development of system identification, IEEE Control systems magazine, vol.26, issue.6, pp.93-105, 2006.

M. Gilson, H. Garnier, P. C. Young, and P. Van-den-hof, Refined instrumental variable methods for closed-loop system identification methos, proceedings of the 15th IFAC Symposium on System Identification, 2009.

L. [. Gillberg and . Ljung, Frequency-domain identification of continuous-time ARMA models from sampled data, Automatica, vol.45, issue.6, pp.1371-1378, 2009.
DOI : 10.1016/j.automatica.2009.01.016

]. J. Gl10a, L. Gillberg, and . Ljung, Frequency domain identification of continuous-time output error models, part I : Uniformly sampled data and frequency function approximation, Automatica, vol.46, issue.1, pp.1-10, 2010.

]. J. Gl10b, L. Gillberg, and . Ljung, Frequency domain identification of continuous-time output error models, part II : Non-uniformly sampled data and B?spline output approximation, Automatica, vol.46, issue.1, pp.11-18, 2010.

M. [. Garnier, A. Mensler, and . Richard, Continuous-time model identification from sampled data: Implementation issues and performance evaluation, International Journal of Control, vol.76, issue.13, 2003.
DOI : 10.1080/0020717031000149636

]. W. Gre00 and . Greblicki, Continuous-time hammerstein system identification, IEEE Transactions on Automatic Control, vol.45, issue.6, pp.1232-1236, 2000.

E. [. Giannakis and . Serpedin, A bibliography on nonlinear system identification, Signal Processing, vol.81, issue.3, pp.533-580, 2001.
DOI : 10.1016/S0165-1684(00)00231-0

M. Gilson and P. Van-den-hof, 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

G. [. Jakeman and . Hornberger, How much complexity is warranted in a rainfall-runoff model?, Water Resources Research, vol.29, issue.8, pp.2637-2649, 1993.
DOI : 10.1029/93WR00877

I. [. Jakeman, P. G. Littlewood, and . Whitehead, Computation of the instantaneous unit hydrograph and identifiable component flows with application to two small upland catchments, Journal of Hydrology, vol.117, issue.1-4, pp.275-300, 1990.
DOI : 10.1016/0022-1694(90)90097-H

]. R. Joh94 and . Johansson, Identification of Continuous?Time models, IEEE Transactions on Signal Processing, vol.42, 1994.

]. V. Kle83 and . Klemes, Conceptualization and scale in hydrology, Journal of hydrology, vol.65, pp.1-23, 1983.

]. D. Klg-+-09, V. Kuss, H. Laurain, M. Garnier, J. Zug et al., Data-based mechanistic rainfall-runoff continuous-time modelling in urban context, proceedings of the 15th IFAC Symposium on System Identification, pp.1780-1785

B. [. Landau, F. Anderson, and . De-bruyne, Recursive identification algorithms for continuous-time nonlinear plants operating in closed loop, Automatica, vol.37, issue.3, pp.469-475, 2001.
DOI : 10.1016/S0005-1098(00)00171-0

E. [. Liu and . Bai, Iterative identification of Hammerstein systems, Automatica, vol.43, issue.2, pp.346-354, 2007.
DOI : 10.1016/j.automatica.2006.09.004

M. [. Lorent and . Gevers, Identification of rainfall/runoff processes, Proceedings of the 4th IFAC Symposium on Identification and parameter Estimation, pp.735-744, 1974.

M. [. Laurain, H. Gilson, and . Garnier, Refined instrumental variable methods for identifying hammerstein models operating in closed loop, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference, 2009.
DOI : 10.1109/CDC.2009.5400896

URL : https://hal.archives-ouvertes.fr/hal-00424135

M. [. Laurain, H. Gilson, P. C. Garnier, and . Young, 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

]. V. Lgtg10a, M. Laurain, R. Gilson, H. Tóth, and . Garnier, Identification of lpv box-jenkins models via optimal refined instrumental variable methods Identification of LPV models, Proceedings of the American Control Conference 2010, page invited session, 2010.

]. V. Lgtg10b, M. Laurain, R. Gilson, H. Tóth, and . Garnier, Refined instrumental variable methods for identification of LPV output-error and Box-Jenkins models, Automatica, vol.46, issue.6, pp.959-967, 2010.

]. L. Lju99 and . Ljung, System identification : theory for the user -Second Edition, 1999.

]. L. Lju03 and . Ljung, Initialisation aspects for subspace and output-error identification methods, European Control Conference (ECC'2003), 2003.

]. L. Lju09 and . Ljung, Experiments with identification of continuous time models, proceedings of the 15th IFAC Symposium on System Identification, 2009.

A. [. Landau and . Karimi, An output error recursive algorithm for unbiased identification in closed loop, Automatica, vol.33, issue.5, pp.933-938, 1997.
DOI : 10.1016/S0005-1098(96)00223-3

G. [. Lovera and . Mercère, Identification for gain-scheduling: a balanced subspace approach, 2007 American Control Conference, pp.858-863, 2007.
DOI : 10.1109/ACC.2007.4282899

URL : https://hal.archives-ouvertes.fr/hal-00164365

R. [. Laurain, M. Tóth, H. Gilson, and . Garnier, Direct identification of continuoustime lpv input/ouput models. Submitted to special issue " Continuous-time model Identification, 2010.

G. [. Marcos and . Balas, Development of Linear-Parameter-Varying Models for Aircraft, Journal of Guidance, Control, and Dynamics, vol.27, issue.2, pp.218-228, 2004.
DOI : 10.2514/1.9165

A. [. Mambretti and . Paoletti, A new approach in overland flow simulation in urban catchments, proceedings of the 7th International Conference on Urban Storm Drainage, 1996.

T. [. Murray-smith, R. Johansen, and . Shorten, On the interpretation of local models in blended multiple model structures, Int. Journal of Control, vol.72, issue.78, pp.620-628, 1999.

]. O. Nel01 and . Nelles, Nonlinear system identification, 2001.

J. [. Nash and . Stucliffe, River flow forecasting through conceptual models part I ??? A discussion of principles, Proc. of the 17th IFAC World Congress, pp.282-290, 1970.
DOI : 10.1016/0022-1694(70)90255-6

M. [. Previdi and . Lovera, Identification of parametrically-varying models for the rainfall-runoff relationship in urban drainage networks, proceedings of the 15th IFAC Symposium on System Identification, pp.1768-1773
DOI : 10.3182/20090706-3-FR-2004.00294

M. [. Previdi, S. Lovera, and . Mambretti, Identification of the rainfall???runoff relationship in urban drainage networks, Control Engineering Practice, vol.7, issue.12, pp.1489-1504, 1999.
DOI : 10.1016/S0967-0661(99)00118-5

. J. Pmeb-+-07-]-h, B. Palanthandalam-madapusi, D. S. Edamana, W. Bernstein, A. J. Manchester et al., Narmax identification for space weather prediction using polynomial radial basis functions, 46th IEEE Conference on Decision and Control, 2007.

J. [. Pintelon, Y. Schoukens, and . Rolain, Box???Jenkins continuous-time modeling, Automatica, vol.36, issue.7, p.36, 2000.
DOI : 10.1016/S0005-1098(00)00002-9

B. Patra and H. Unbehauen, Identification of a class of nonlinear continuous-time systems using Hartley modulating functions, International Journal of Control, vol.79, issue.6, pp.1431-1451, 1995.
DOI : 10.1080/00207728508926699

H. [. Rao and . Garnier, Numerical illustrations of the relevance of direct continuoustime model identification, 15th Triennial IFAC World Congress on Automatic Control, 2002.

G. P. Rao and H. Garnier, Identification of continuous-time systems, IEE Proceedings - Control Theory and Applications, vol.153, issue.2, pp.25-50, 2004.
DOI : 10.1049/ip-cta:20045250

H. [. Rao and . Unbehauen, Identification of continuous-time systems, IEE Proceedings - Control Theory and Applications, vol.153, issue.2, 2006.
DOI : 10.1049/ip-cta:20045250

. [. Söderström, Errors-in-variables methods in system identification, Automatica, vol.43, issue.6, pp.939-958, 2007.
DOI : 10.1016/j.automatica.2006.11.025

M. [. Shamma and . Athans, Gain scheduling: potential hazards and possible remedies, IEEE Control Systems, vol.12, issue.3, pp.101-107, 1992.
DOI : 10.1109/37.165527

M. [. Stoica and . Jansson, MIMO system identification: state-space and subspace approximations versus transfer function and instrumental variables, IEEE Transactions on Signal Processing, vol.48, issue.11, pp.483087-3099, 2000.
DOI : 10.1109/78.875466

P. [. Söderström and . Stoica, Instrumental Variable Methods for System Identification, 1983.
DOI : 10.1007/BFb0009019

P. [. Söderström and . Stoica, System Identification, Journal of Dynamic Systems, Measurement, and Control, vol.115, issue.4, 1989.
DOI : 10.1115/1.2899207

J. Schoukens, W. D. Widanage, K. R. Godfrey, and R. Pintelon, Initial estimates for the dynamics of a Hammerstein system, Automatica, vol.43, issue.7, pp.1296-1301, 2007.
DOI : 10.1016/j.automatica.2006.12.003

F. [. Troch, J. De-troch, and . Van-hyfte, Modeling and Identification of Linear Parameter-Varying Systems : An Orthonormal Basis Function Approach Modelling the time dependant natrue of the rainfall-runoff relationship using on-line identification, Hydrological applications of weather radar, pp.519-530, 1991.

F. [. Tóth, P. S. Felici, P. M. Heuberger, and . Van-den-hof, Discrete time LPV I/O and state space representations, differences of behavior and pitfalls of interpolation, Proc. of the European Control Conf, pp.5418-5425, 2007.

P. [. Tóth, P. M. Heuberger, and . Van-den-hof, Flexible model structures for LPV identification with static scheduling dependency, 2008 47th IEEE Conference on Decision and Control, pp.4522-4527, 2008.
DOI : 10.1109/CDC.2008.4739028

P. [. Tóth and P. M. Heuberger, Van den Hof. An LPV identification framework based on orthonormal basis functions, proceedings of the 15th IFAC Symposium on System Identification, 2009.

P. [. Tóth, P. M. Heuberger, and . Van-den-hof, On the discretization of LPV state-space representations Rainfall-runoff modeling using artficial neural networks, ASCE Journal of hydrological engineering, vol.4, pp.232-239, 1999.

M. [. Tóth, P. S. Lovera, and P. M. Heuberger, Van den Hof. Discretization of linear fractional representations of LPV systems, Proc. of the 48th IEEE Conf. on Decision and Control, pp.7424-7429, 2009.

]. R. Tót10 and . Tóth, Modeling and Identification of Linear Parameter-Varying Systems, Lecture Notes in Control and Information Sciences, vol.403, 2010.

W. [. Thil, M. Zheng, H. Gilson, and . Garnier, Unifying some higher-order statistic-based methods for errors-in-variables model identification, Automatica, vol.45, issue.8, pp.1937-1942, 2009.
DOI : 10.1016/j.automatica.2009.04.019

URL : https://hal.archives-ouvertes.fr/hal-00406686

]. P. Vdh98 and . Van-den-hof, Closed-loop issues in system identification, Annual Reviews in Control, vol.22, pp.173-186, 1998.

R. [. Vanbeylen, J. Pintelon, J. W. Schoukens, M. Van-wingerden, and . Verhaegen, Blind maximum likelihood identification of Hammerstein systems, Automatica, vol.44, issue.12, pp.3139-3146372, 2008.
DOI : 10.1016/j.automatica.2008.05.013

]. M. Was02 and . Wassink, LPV control for wafer stages, pp.595-597, 2002.

]. X. Wd06a, L. Wei, and . Del-re, On persistent excitation for parameter estimation of quasi-LPV systems and its application in modeling of diesel engine torque, Proceedings of the 14th IFAC Symposium on System Identification, pp.517-522, 2006.

]. F. Wd06b, K. Wu, and . Dong, Gain-scheduling control of LFT systems using parameterdependent Lyapunov functions, Automatica, vol.42, pp.39-50, 2006.

K. [. Wang, K. H. Ju, and . Chon, Closed-loop nonlinear system identification via the vector optimal parameter search algorithm: Application to heart rate baroreflex control, Medical Engineering & Physics, vol.29, issue.4, pp.505-515, 2007.
DOI : 10.1016/j.medengphy.2006.06.013

F. Wijnheijmer, G. Naus, W. Post, M. Steinbuch, and P. Teerhuis, Modeling and LPV control of an electro-hydraulic servo system, Proc. of the IEEE International Conf. on Control Applications, pp.3116-3120, 2006.

Q. [. Wang, L. Zhang, and . Ljung, Revisiting Hammerstein system identification through the Two-Stage Algorithm for bilinear parameter estimation, Automatica, vol.45, issue.11, pp.2627-2633, 2009.
DOI : 10.1016/j.automatica.2009.07.033

URL : https://hal.archives-ouvertes.fr/hal-00777566

K. [. Young and . Beven, Data-based mechanistic modelling and the rainfall-flow non-linearity, Environmetrics, vol.19, issue.3, pp.335-363, 1994.
DOI : 10.1002/env.3170050311

H. [. Young and . Garnier, Identification and estimation of continuous-time, data-based mechanistic (DBM) models for environmental systems, Environmental Modelling & Software, vol.21, issue.8, pp.1055-1072, 2006.
DOI : 10.1016/j.envsoft.2005.05.007

URL : https://hal.archives-ouvertes.fr/hal-00119818

H. [. Young, M. Garnier, and . Gilson, Identification of continuous-time models from sampled data, chapter Refined instrumental variable identification of continous-time hybrid Box-Jenkins models, 2008.

A. [. Young and . Jakeman, Refined instrumental variable methods of recursive time-series analysis Part III. Extensions, International Journal of Control, vol.29, issue.4, pp.741-764, 1980.
DOI : 10.1080/00207178008961080

M. [. Young and . Lees, The active mixing volume : a new concept in modelling environmental systems, Statistics for the Environment, pp.3-43, 1993.

]. P. You76 and . Young, Some observations on instrumental variable methods of time-series analysis, International Journal of Control, vol.23, pp.593-612, 1976.

]. P. You86 and . Young, Time series methods and recursive estimation in hydrological systems analysis, pp.129-180, 1986.

]. P. You02 and . Young, Advances on real-time flood forecasting, Phil. Trans. of the Royal Society, vol.360, issue.1796, pp.1433-1450, 2002.

]. P. You03 and . Young, Top-down ad data-based mechanistic modelling of rainfall-flow dynamics at the catchment scale. Hydrological processes, pp.2195-2217, 2003.

]. P. You08 and . Young, The refined instrumental variable method : Unified estimation of discrete and continuous-time transfer function models, Journal Européen des Systèmes Automatisés, vol.42, pp.149-179, 2008.

J. [. Zhou and . Doyle, Essentials of Robust Control, 1998.

]. W. Zhe03 and . Zheng, Application of bels based methods in direct identification of linear systems from closed loop data, 42nd IEEE Conference on Decision and Control, pp.4539-4544, 2003.

D. Zhai, D. K. Rollins, N. Bhandari, and H. Wu, Continuous-time Hammerstein and Wiener modeling under second-order static nonlinearity for periodic process signals, Computers & Chemical Engineering, vol.31, issue.1, pp.1-12, 2006.
DOI : 10.1016/j.compchemeng.2006.04.003