Optimal closed-loop identification test design for internal model control

Automatica

Volumn 36, Issue 8, 2000, Pages 1237-1241

  Zhu, Yucai ^a,b   Van Den Bosch, Paul P J ^a  

^a EINDHOVEN UNIVERSITY OF TECHNOLOGY   (Netherlands)

^b Tai Ji Control   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

CONTROL SYSTEM ANALYSIS; CONTROL SYSTEM SYNTHESIS; IDENTIFICATION (CONTROL SYSTEMS); MATHEMATICAL MODELS; OPTIMAL CONTROL SYSTEMS;

INTERNAL MODEL CONTROL (IMC);

CLOSED LOOP CONTROL SYSTEMS;

EID: 0034249269     PISSN: 00051098     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0005-1098(00)00034-0     Document Type: Article

References (9)

1. Forssell, U., & Ljung, L. (1998). Identification for control: Some results on optimal experiment design. Report LiTH-ISY-R-2014. Department of EE, Linkoping University, Sweden.
2. Garcia, C. E., Prett, D. M., & Morari, M. (1989). Model predictive control: Theory and practice - a survey. Automatica, 25(3), 335-348.
3. Hjalmarsson, H., Gevers, M., & de Bruyne, F. (1996). For model-based control design, closed-loop identification gives better performance. Automatica, 32(12), 1659-1673.
4. Ljung, L. (1987). System identification: Theory for the user. Englewood Cliffs, NJ: Prentice-Hall.
5. Ljung, L. (1985). Asymptotic variance expressions for identified black-box transfer function models. IEEE Transactions on Automatic Control, AC-30, 834-844.
6. Mehra, R.K. (1974). Optimal input signals for parameter estimation in dynamic systems - survey and new results, IEEE Transactions on Automatic Control, AC-19 753-768.
7. van den Hof, P. M. J. (1997). Closed-loop issues in system identification. Proceedings of the 11th IFAC Symposium on System Identification, Fukuoka, Japan, vol. 4 (pp. 1651-1664).
8. Zhu, Y. C. (1998). Multivariable process identification for MPC: The asymptotic method and its applications. Journal of Process Control, 8(2), 101-115.
9. Zhu, Y. C., & Butoyi, F. (2000). Multivariable and closed-loop identification for model predictive control. In preparation.