Block-Oriented Continuous-Time Modelling For Nonlinear Systems Under Sinusoidal Inputs
Author:
Affiliation:
1. Department of Chemical and Biological Engineering, Iowa State University, Ames, IA 50011, USA; e-mail: {, }
2. Department of Statistics, Iowa State University, Ames, IA 50011, USA;
Publisher
Informa UK Limited
Subject
Electrical and Electronic Engineering,Hardware and Architecture,Mechanics of Materials,Modelling and Simulation,Software
Link
https://www.tandfonline.com/doi/pdf/10.1080/02286203.2008.11442461
Reference20 articles.
1. M.A. Henson & D.E. Seborg,Nonlinear process control(Upper Saddle River, NJ: Prentice Hall PTR, 1997).
2. N. Bhandari & D.K. Rollins, Continuous-time multi-input, multi-output Wiener modelling method,Industrial and Engineering Chemistry Research, 42(22), 2003, 5583–5595.
3. D.K. Rollins, N. Bhandari, A.M. Bassily, G.M. Colver, & S.T. Chin, A continuous-time nonlinear dynamic predictive modelling method for Hammerstein processes,Industrial and Engineering Chemistry Research, 42(4), 2003, 861–872.
4. D.K. Rollins, L. Pacheco, & N. Bhandari, A quantitative measure to evaluate competing designs for nonlinear dynamic process identification, submitted toThe Canadian Journal of Chemical Engineering, 84(4), 2006, 459–468.
5. E. Eskinat, S.H. Johnson, & W.L. Luyben, Use of Hammerstein models in identification of nonlinear systems,AIChE Journal, 37, 1991, 255–268.
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