The practical application of a nonlinear identification methodology

Control Engineering Practice

Volumn 4, Issue 3, 1996, Pages 295-306

  Thomson, M ^a   Schooling, S P ^a   Soufian, M ^a  

^a MANCHESTER METROPOLITAN UNIVERSITY   (United Kingdom)

Author keywords

Heat exchanger; Identification; Nonlinear processes; Structure determination; Validation tests

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; CONTROL SYSTEM SYNTHESIS; DIFFERENCE EQUATIONS; HEAT EXCHANGERS; LEAST SQUARES APPROXIMATIONS; MATHEMATICAL MODELS; NONLINEAR CONTROL SYSTEMS; NONLINEAR EQUATIONS; PARAMETER ESTIMATION;

LINEAR DIFFERENCE EQUATION; NONLINEAR AUTO REGRESSIVE MOVING AVERAGE WITH EXOGENOUS INPUTS; NONLINEAR DIFFERENCE EQUATION; NONLINEAR IDENTIFICATION METHODOLOGY; VALIDATION TESTS;

IDENTIFICATION (CONTROL SYSTEMS);

EID: 0030104350     PISSN: 09670661     EISSN: None     Source Type: Journal    
DOI: 10.1016/0967-0661(96)00006-8     Document Type: Article

References (24)

1. Akaike, H. (1981). Modern development of statistical methods. In : Trends and Progress in System Identification, (P.Eykhoff, Ed), Pergamon Press, Oxford.
2. Bequette, B.W. (1991). Nonlinear Control of Chemical Processes : A Review. Ind. Chem. Eng. Res., 30, 1391-1413.
3. Billings, S.A. and W.S.F. Voon. (1983). Structure detection and model validity tests in the identification of nonlinear systems. IEE Proceedings Part D, 130, 193-199.
4. Billings, S.A. and I.J. Leontaritis. (1981). Identification of nonlinear systems using parameter estimation. IEE Conf. Control and Applications. Warwick, UK. 183-187.
5. Billings, S.A., M.J. Korenberg and S. Chen. (1989). Identification of MIMO nonlinear systems using a forward regression orthogonal estimator. Int.J.Control, 49, 2157-2189.
6. Billings, S.A. and S. Chen. (1989). Extended model set, global data and threshold model identification of severely nonlinear systems. Int.J.Control, 50, 1897-1923.
7. Box, G.E.P. and G.M. Jenkins. (1976). Time series analysis. Holden Day, San Francisco.
8. Eykhoff, P. and P.C. Parks. (1990). Identification and System Parameter Estimation; where do we stand now ?. Automatica, 26, 3-5.
9. Froisy, J.B. (1994). Model Predictive Control : Past, present and future. ISA Transactions, 33, 235-243.
10. Garcia, C.E., D.M. Prett and M. Morari. (1989). Model Predictive Control : Theory and Practice - a Survey. Automatica, 25, 335-348.
11. Haber, R. (1985). Nonlinearity tests for dynamic processes. 7th IFAC Symp. on Identification and System Parameter Estimation. York, U.K. 409-413.
12. Haber, R. and H. Unbehauen, (1990). Structure identification of nonlinear dynamic systems - A survey on input / output approaches. Automatica, 26, 651-677.
13. Keulers, M. (1993). Structure and parameter identification of a batch fermentation process using nonlinear modelling. Proc. American Control Conf. San Francisco, USA. 2261-2265.
14. Kortmann, M. and H. Unbehauen. (1988). Two algorithms for model structure determination of nonlinear dynamic systems with applications to industrial processes. 8th IFAC Symp. on Identification and System Parameter Estimation. Peking, China. 939-946.
15. Leontaritis, I.J. and S.A. Billings. (1985). Input-output parameter models for nonlinear systems. Part 1 : Deterministic nonlinear systems. Part 2 : Stochastic nonlinear systems. Int.J.Control, 41, 303-344.
16. Leontaritis, I.J. and S.A. Billings. (1987). Model selection and validation methods for nonlinear systems. Int.J.Control, 45, 311-341.
17. Ljung, L. (1987). System Identification - Theory for the user. Prentice Hall, Englewood Cliffs, New Jersey.
18. Montgomery, D. C. and E. A. Peck. (1982). An Introduction to Linear Regression Analysis. Wiley, New York.
19. Peyton-Jones, J.C. and S.A. Billings. (1993). Mean levels in nonlinear analysis and identification. Int.J.Control, 58, 1033-1052.
20. Sebér, G.A.F. (1977). Linear Regression Analysis. Wiley, New York.
21. Schooling, S.P., M. Thomson and M. Mackay. (1995). The application of a nonlinear identification and control scheme to a continuous stirred tank reactor. IChemE Symp. Advances in Process Control 4. York, U.K. 219-227.
22. Soderstrom, T. and P. Stoica. (1989). System Identification. Prentice Hall, Englewood Cliffs, New Jersey.
23. Thomson, M., P.G. Cassidy and D.J. Sandoz. (1989) Automatic tuning of PID controllers using a combined time and frequency domain method. Trans Inst MC, 11, 40-47.
24. Yeo, Y.K. and D.C. Williams. (1987). Bilinear Model Predictive Control. Ind. Eng. Chem. Res., 26, 2267-2274.