Iterative Identification of Continuous-Time Hammerstein and Wiener Systems Using a Two-Stage Estimation Algorithm
Author:
Affiliation:
1. Department of Chemical Engineering, National Cheng Kung University, Tainan, Taiwan 70101, R.O.C.
Publisher
American Chemical Society (ACS)
Subject
Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/ie800149w
Reference34 articles.
1. Unbiased identification of continuous-time parametric models using a time-weighted integral transform
2. Structure identification of nonlinear dynamic systems—A survey on input/output approaches
3. Wiener model identification and predictive control for dual composition control of a distillation column
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1. Correlation analysis-based error compensation recursive least-square identification method for the Hammerstein model;Journal of Statistical Computation and Simulation;2017-09-21
2. Parameter estimation of the fractional‐order Hammerstein–Wiener model using simplified refined instrumental variable fractional‐order continuous time;IET Control Theory & Applications;2017-08-09
3. A robust adaptive controller for Hammerstein nonlinear systems;International Journal of Control, Automation and Systems;2017-03-08
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