Laurain, V.Gilson, M.Garnier , H.Young, Peter C2015-12-13December 99781424431243http://hdl.handle.net/1885/84532This article presents instrumental variable methods for direct continuous-time estimation of a Hammerstein model. The non-linear function is a sum of known basis functions and the linear part is a Box-Jenkins model. Although the presented algorithm is not statistically optimal, this paper further shows the performance of the presented algorithms and the advantages of continuous-time estimation on relevant simulations.Keywords: Basis functions; Box-jenkins models; Continuous-time; Hammerstein models; Instrumental variable methods; Non-linear functions; Continuous time systemsRefined instrumental variable methods for identification of Hammerstein continuous-time box-jenkins models200810.1109/CDC.2008.47388532016-02-24