Robust tuning of low-order controllers via uncertainty model identification

European Journal of Control

Volumn 5, Issue 2-4, 1999, Pages 316-328

  Canale, M ^a   Fiorio, G ^a   Malan, S ^a   Taragna, M ^a  

^a POLITECNICO DI TORINO   (Italy)

Author keywords

Identification for control; Low order controllers; Robust control; Set membership identification; Uncertain systems

Indexed keywords

MATHEMATICAL MODELS; PERFORMANCE; POLES AND ZEROS; ROBUSTNESS (CONTROL SYSTEMS); SYSTEM STABILITY; THREE TERM CONTROL SYSTEMS; UNCERTAIN SYSTEMS;

CONTROLLER PARAMETER; LOW ORDER CONTROLLER; SET MEMBERSHIP IDENTIFICATION;

IDENTIFICATION (CONTROL SYSTEMS);

EID: 0033316876     PISSN: 09473580     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0947-3580(99)70167-6     Document Type: Article

References (20)

1. Åström K, Hägglund T. PID controllers: theory, design and tuning. 2nd edn. Instrument Society of America, 1995
2. Aström K, Hägglund T. New tuning methods for PID controllers. In: Proceedings of the 3rd European control conference, Rome, Italy, 1995, pp 2456-2462
3. Aström K, Hägglund T, Hang C, Ho W. Automatic tuning and adaptation for PID controllers: a survey. Control Eng Pract 1993; 1(4): 699-714
4. Bayard DS, Yam Y, Mettler E. A criterion for joint optimization of identification and robust control. IEEE Trans Autom Control 1992; 37(7): 986-991
5. Canale M, Fiorio G, Malan S, Milanese M, Taragna M. Robust tuning of PID controllers via uncertainty model identification. In: Proceedings of the 4th European control conference, Brussels, Belgium, 1997
6. ∞: validation of a priori information, essentially optimal algorithms and error bounds. IEEE Trans Autom Control 1995; 40(7): 1260-1265
7. ∞ robust control. In: Proceedings of the 35th IEEE conference on decision and control, Kobe, Japan, 1996, pp 4184-4189. Also to appear in Int J Robust Nonlinear Control 1999
8. ∞ identification and model quality evaluation. IEEE Trans Autom Control 1997; 42(2): 188-199
9. Haalman A. Adjusting controllers for a deadtime process. Control Eng 1965; July: 71-73
10. Keel LH, Bhattacharyya SP. Robust, fragile, or optimal. IEEE Trans Autom Control 1997; 42: 1098-1105
11. 3 algorithm for robust performances analysis in presence of mixed parametric and dynamic perturbations. In: Proceedings of the 31st IEEE conference on decision and control, Tucson, AZ, 1992, pp 128-133
12. Malan S, Milanese M, Taragna M. Robust analysis and design of control systems using interval arithmetic. Automatica 1997; 33(7): 1363-1372
13. Milanese M. Learning models from data: the set membership approach. In Proceedings of the American control conference, Philadelphia, PA, 1998, pp 178-182
14. ∞ identification of 'soft' uncertainty models. In: Proceedings of the 35th IEEE conference on decision and control, Kobe, Japan, 1996, pp 2418-2423. Also in Syst Control Lett 1999; 37(4): 217-228
15. Milanese M, Fiorio G, Malan S, Vicino A. Robust performance design of nonlinearly perturbed control systems. In: Bhattacharyya S, Keel L (eds). Control of uncertain dynamic systems. CRC Press, Boca Raton, 1991, pp 113-124
16. Poolla K, Khargonekar P, Tikku A, Krause J, Nagpal K. A time-domain approach to model validation. IEEE Trans Autom Control 1994; 39: 951-959
17. Scheid RE, Bayard DS. A globally optimal minimax solution for spectral overbounding and factorization. IEEE Trans Autom Control 1995; 40(4): 712-716
18. Smith R, Doyle J. Model validation: a connection between robust control and identification. IEEE Trans Autom Control 1992; 37: 942-952
19. ∞ robust control. In: Proceedings of the 37th IEEE conference on decision and control, Tampa, FL, 1998, pp 3403-3405
20. Voda A, Landau ID. Applications of the KLV method for the auto-calibration of PID controllers. In Proceedings of the 2nd IEEE conference on control applications, Vancouver, BC, 1993, pp 829-834