Identifying MIMO Hammerstein systems in the context of subspace model identification methods

International Journal of Control

Volumn 63, Issue 2, 1996, Pages 331-349

  Verhaegen, Michel ^a   Westwick, David ^a  

^a Systems and Control Laboratory ^*  (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CONTROL NONLINEARITIES; IDENTIFICATION (CONTROL SYSTEMS); MATHEMATICAL MODELS; PROBLEM SOLVING; ROBUSTNESS (CONTROL SYSTEMS);

HAMMERSTEIN TYPE NONLINEAR SYSTEMS; LINEAR SYSTEM DYNAMICS; UNKNOWN PROPORTIONAL CONSTANTS;

NONLINEAR CONTROL SYSTEMS;

EID: 0029757872     PISSN: 00207179     EISSN: 13665820     Source Type: Journal    
DOI: 10.1080/00207179608921846     Document Type: Article

References (14)

1. Bendat, J., 1990, Nonlinear System Analysis and Identification from Random Data (Wiley Interscience).
2. Bendat, J., and Piersol, A, 1986, Random Data: Analysis and Measurement Procedures, second edition (Wiley Interscience).
3. Choi, D., Miksad, R. W., and Powers, E., 1985, Application of digital cross-bispectra I analysis techniques to model the nonlinear response of moored vessel system in random seas. Journal of Sounds and Vibration, 99, 309.
4. Greblicki, W., and Pawlak, M., 1986, Identification of discrete Hammerstein systems using kernel regression estimates. IEEE Transactions on Automatic Control, 31, 74-77.
5. Haber, R., and Unbehauen, H., 1990, Structure identification of nonlinear dynamic systems-a survey on input/output approaches. Automatica, 26, 651-677.
6. Kailath, T., 1980, Linear Systems (Englewood Cliffs, NJ: Prentice Hall).
7. Korenberg, M., and Hunter, I., 1986, The identification of nonlinear biological systems: LNL cascade models. Biological Cybernetics, 55, 125-134.
8. Moler, C., Little, J., and Bangert, S., 1987, Pro-matlab User's Guide (The Mathworks Inc).
9. Narendra, K., and Gallman, P., 1966, An iterative method for the identification of nonlinear systems using a Hammerstein model. IEEE Transactions on Automatic Control, 11, 546-550.
10. Pawlak, M., 1991, On the series expansion approach to the identification of Hammerstein systems. IEEE Transactions on Automatic Control, 36, 763-767.
11. Stoica, P., and Söderström, T., 1982, Instrumental-variable methods for identification of Hammerstein systems. International Journal of Control, 35, 459-476.
12. Verhaegen, M., 1993a, Application of a subspace model identification technique to identify LTI systems operating inclosed loop. Automatica, 29, 1027-1040; 1993b, Identification of the deterministic part of MIMO state space models given in innovation form from input-output data. SpecialIssue on Statistical Signal Processing and Control of Automatica, 30, 61-74; 1993c, Subspace model identification. Part III: analysis of the ordinary output-error state space model identification algorithm. International Journal of Control, 58, 555-586; 1996, A subspace model identification solution to the identification of mixed causal, anti-causal LTI systems. SIAM Journal of Matrix Analysis and Applications, to be published.
13. Verhaegen, M., and Dewilde, P., 1992a, Subspace model identification. Part I: the output-error state space model identification class of algorithms. International Journal of Control, 56, 1187-1210; 1992 b, Subspace model identification. Part II: analysis of the elementary output-error state space model identification algorithm. International Journal of Control, 56, 1211-1241.
14. Zi-Qiang, L., 1993, Controller design oriented model identification method for Hammerstein systems. Automatica, 29, 767-771