Academic
Publications
An optimal two-stage identification algorithm for Hammerstein–Wiener nonlinear systems * * This paper was not presented at any IFAC meeting. This paper was recommended for publication in revised form by editor Associate Editor B. Ninness under the direction of Editor Torsten Söderström

An optimal two-stage identification algorithm for Hammerstein–Wiener nonlinear systems * * This paper was not presented at any IFAC meeting. This pape

An optimal two-stage identification algorithm for Hammerstein–Wiener nonlinear systems * * This paper was not presented at any IFAC meeting. This paper was recommended for publication in revised form by editor Associate Editor B. Ninness under the direction of Editor Torsten Söderström   (Citations: 69)
BibTex | RIS | RefWorks Download
An optimal two-stage identification algorithm is presented for Hammerstein–Wiener systems where two static nonlinear elements surround a linear block. The proposed algorithm consists of two steps: The first one is the recursive least squares and the second one is the singular value decomposition of two matrices whose dimensions are fixed and do not increase as the number of the data point increases. Moreover, the algorithm is shown to be convergent in the absence of noise and convergent with probability one in the presence of white noise.
Journal: Automatica , vol. 34, no. 3, pp. 333-338, 1998
Cumulative Annual
View Publication
The following links allow you to view full publications. These links are maintained by other sources not affiliated with Microsoft Academic Search.
Sort by: