Comparison of the closed-loop identification methods in terms of the bias distribution

Systems and Control Letters

Volumn 34, Issue 4, 1998, Pages 159-167

  Karimi, Alireza ^a   Landau, Ioan Doré ^a  

^a GIPSA LAB   (France)

Author keywords

Bias distribution; Closed loop identification; Identification for control; Output error

Indexed keywords

ALGORITHMS; CONTROL SYSTEM ANALYSIS; ERROR ANALYSIS; IDENTIFICATION (CONTROL SYSTEMS); ITERATIVE METHODS; MATHEMATICAL MODELS; PROBLEM SOLVING;

BIAS DISTRIBUTIONS; CLOSED LOOP IDENTIFICATION METHODS;

CLOSED LOOP CONTROL SYSTEMS;

EID: 0032120786     PISSN: 01676911     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-6911(97)00137-0     Document Type: Article

References (17)

1. K.J. Åström, Matching criteria for control and identification, European Control Conf., Groningen, Netherlands, 1993, pp. 248-251.
2. M. Gevers, Towards a joint design of identification and control? in: H.L. Trentelman, J.C. Willems (Eds.), Essays on Control, Perspectives in the Theory and its Applications, Birkhäuser, Boston, USA, 1993.
3. M. Gevers, L. Ljung, Optimal experiment designs with respect to the intended model application, Automatica 22(5) (1986) 543-554.
4. H. Hjalmarsson, M. Gevers, F. De Bruyne, J. Leblond, Identification for control: closing the loop gives more accurate controllers, in: Conf. on Decision and Control, Lake Buena Vista, FL, USA, 1994, pp. 4150-4155.
5. I.D. Landau, A. Karimi, An extended output error recursive algorithm for identification in closed loop, in: 35th Conf. on Decision and Control, Kobe, Japan, 1996.
6. I.D. Landau, A. Karimi, An output error recursive algorithm for unbiased identification in closed loop, Automatica 33(5) (1997) 933-938.
7. I.D. Landau, A. Karimi, Recursive algorithms for identification in closed loop -a unified approach and evaluation, Automatica 33(8) (1997) 1499-1523.
8. L. Ljung, System Identification - Theory for the User, Prentice-Hall, Englewood Cliffs, NJ, 1987.
9. L. Ljung, Information contents in identification data from closed-loop operation, in: Conf. on Decision and Control, San Antonio, Texas, 1993, pp. 2248-2252.
10. R.R. Schrama, Accurate identification for control: the necessity of an iterative scheme, IEEE Trans. Automat. Control 37(7) (1992) 991-994.
11. R.R. Schrama, P.M.J. Van den Hof, An iterative scheme for identification and control design based on coprime factorizations, in: American Control Conf., Chicago, IL, USA, 1992, pp. 2842-2846.
12. T. Söderström, P. Stoica, System Identification, Prentice-Hall, Englewood Cliffs, NJ, 1989.
13. P.M.J. Van den Hof, R.R. Schrama, An indirect method for transfer function estimation from closed loop data, Automatica 29 (1993) 1523-1527.
14. P.M.J. Van den Hof, R.R. Schrama, Identification and control - closed-loop issues, Automatica 31(12) (1995) 1751-1770.
15. A. Voda, I.D. Landau, An iterative method for the auto-calibration of the digital controllers application, in: European Control Conf., Rome, Italy, 1995, pp. 2463-2468.
16. Z. Zang, R.R. Bitmead, M. Gevers, Iterative model refinement and control robustness enhancement, in: Conf. on Decision and Control, Brighton, UK, 1991, pp. 279-284.
17. Z. Zang, R.R. Bitmead, M. Gevers, Iterative weighted least-squares identification and weighted LQG control design, Automatica 31(11) (1995) 1577-1594.