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International Journal of Control Volume 57, 1993 - Issue 1
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Original Articles

Application of a general multi-model approach for identification of highly nonlinear processes-a case study

M. POTTMANN Department of Chemical and Nuclear Engineering, University of California, Santa Barbara, CA, 93106, U.S.A.View further author information
,
H. UNBEHAUEN Department of Chemical and Nuclear Engineering, University of California, Santa Barbara, CA, 93106, U.S.A.View further author information
&
D. E. SEBORG Department of Chemical and Nuclear Engineering, University of California, Santa Barbara, CA, 93106, U.S.A.
Pages 97-120 | Received 19 Mar 1991, Published online: 03 Apr 2007

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L. Piroddi & W. Spinelli. (2003) An identification algorithm for polynomial NARX models based on simulation error minimization . International Journal of Control 76:17, pages 1767-1781.
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OlufemiA. Adebiyi & ArmandoB. Corripio. (2002) Operating regime decomposition using neural networks. Chemical Engineering Communications 189:11, pages 1550-1568.
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S. C. Mcloone, S. Mcginnity & G. W. Irwin. (2002) Comparison of two construction algorithms for local model networks. International Journal of Systems Science 33:13, pages 1059-1072.
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AMIT PATRA & HEINZ UNBEHAUEN. (1995) Identification of a class of nonlinear continuous-time systems using Hartley modulating functions. International Journal of Control 62:6, pages 1431-1451.
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