Recursive algorithms for identification in closed loop: A unified approach and evaluation

Automatica

Volumn 33, Issue 8, 1997, Pages 1499-1523

  Landau, Ioan Dorè ^a   Karimi, Alireza ^a  

^a GIPSA LAB   (France)

Author keywords

Closed loop identification; Convergence; Identification algorithms; Robustness; Stability; Validation

Indexed keywords

ALGORITHMS; ASYMPTOTIC STABILITY; COMPUTER SIMULATION; PROBLEM SOLVING; RECURSIVE FUNCTIONS; ROBUSTNESS (CONTROL SYSTEMS);

RECURSIVE ALGORITHMS;

CLOSED LOOP CONTROL SYSTEMS;

EID: 0031208011     PISSN: 00051098     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0005-1098(97)00061-7     Document Type: Article

References (25)

1. Adaptech (1996) WinPIM + (includes, WmPIM, WinREG and WinTRAC) System Identification and Control Software. Adaptech, 4 Rue du Tour de l'eau, 38400 Saint Martin d'Hères, France.
2. Anderson, B. D. O. and Johnson, C. R. (1992) On reduced-order adaptive output error identification and adaptive IIR filtering. IEEE Trans. Autom. Control AC-27, 927-933.
3. Åström, K. J. (1993) Matching criteria for control and identification. In Proc. European Control Conf., Gronigen, The Netherlands, pp. 248-251.
4. Dugard, L. and Landau, I. D. (1980) Recursive output error identification algorithms. Automatica 16, 443-462.
5. Duong, H. N. and Landau, I. D. (1996) An IV based criterion for model order selection. Automatica 32, 909-914.
6. Gevers, M. (1993) Towards a joint design of identification and control? In Essays on Control, Perspectives in the Theory and its Applications, ed. H. L. Trentelman and J. C. Willems. Birkhäuser, Boston.
7. Goodwin, G. C. and Sin, K. S. (1984) Adaptive Filtering Prediction and Control. Prentice-Hall, Englewood Cliffs, NJ.
8. Gustavsson, I., Ljung, L. and Söderström, T. (1977) Identification of processes in closed loop - identifiability and accuracy aspects. Automatica 13, 59-75.
9. van den Hof, P. M. J. and Schrama, R. R. (1993) An indirect method for transfer function estimation from closed loop data. Automatica 29, 1523-1527.
10. van den Hof, P. M. J. and Schrama, R. R. (1995) Identification and control - closed-loop issues. Automatica 31, 1751-1770.
11. Ioannou, P. and Johnson, C. R. (1981) Reduced-order performance of parallel and series-parallel identifiers. In Proc. Workshop on Applied Adaptive System Theory, Yale University, New Haven, CT, pp. 169-174.
12. Ioannou, P. and Kokotovic, P. V. (1982) An asymptotic error analysis of identifiers and adaptive observers in the presence of parasitics. IEEE Trans. Autom. Control AC-27, 921-927.
13. Karimi, A. and Landau, I. D. (1997) Comparison of the closed loop identification methods in terms of the bias distribution. Technical Report, Laboratoire d'Automatique de Grenoble, ENSIEG, BP 46, 38402 St Martin d'Hères, France.
14. Landau, I. D. (1980) An extension of a stability theorem applicable to adaptive control. IEEE Trans. Autom. Control AC-25, 814-817.
15. Landau, I. D. (1982) Near supermartingales for convergence analysis of recursive identification and adaptive control schemes. Int. J. Control 35, 197-226.
16. Landau, I. D. (1990) System Identification and Control Design. Prentice-Hall, Englewood Cliffs, NJ.
17. Landau, I. D. and Karimi, A. (1996) An extended output error recursive algorithm for identification in closed loop. In Proc. 35th IEEE Conf. on Decision and Control, Kobe, Japan.
18. Landau, I. D. and Karimi, A. (1997) An output error recursive algorithm for unbiased identification in closed loop. Automatica 33, 933-938.
19. Ljung, L. (1977) On positive real transfer functions and the convergence of some recursive schemes. IEEE Trans. Autom. Control AC-22, 539-551.
20. Ljung, L. (1987) System Identification - Theory for the User. Prentice-Hall, Englewood Cliffs, NJ.
21. Ljung, L. (1993) Information contents in identification data from closed-loop operation. In Proc. 32nd IEEE Conf. on Decision and Control, San Antonio, TX, pp. 2248-2252.
22. Naik, S. M. and Kumar, P. R. (1992) Adaptive IIR filtering and output error identification: robustness analysis. In Proc. American Control Conf., Chicago, IL, pp. 1471-1475.
23. Popov, V. M. (1973) Hyperstability of Control Systems. Springer-Verlag, New York.
24. Söderström, T. and Stoica, P. (1989) System Identification. Prentice-Hall, Hemel Hempstead.
25. Voda, A. and Landau, I. D. (1995) An iterative method for the auto-calibration of the digital controllers; application. In Proc. European Control Conf., Rome, pp. 2463-2468.