Controller performance benchmarking and tuning using generalised minimum variance control

Automatica

Volumn 38, Issue 12, 2002, Pages 2111-2119

  Grimble, M J ^a  

^a UNIVERSITY OF STRATHCLYDE   (United Kingdom)

Author keywords

Benchmarking; Industrial control; Minimum variance; Optimal control; Polynomial systems

Indexed keywords

CONTROL SYSTEMS; COSTS; OPTIMAL CONTROL SYSTEMS; PERFORMANCE; POLYNOMIALS; TUNING;

GENERALIZED MINIMUM VARIANCE CONTROL;

BENCHMARKING;

EID: 0036888283     PISSN: 00051098     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0005-1098(02)00141-3     Document Type: Article

References (20)

1. Ahmad M., Benson R. Benchmarking in the process industries. 1999;The Cromwell Press, IChemE, UK.
2. Andersen B., Pettersen P.G. The benchmarking handbook. 1996;Chapman & Hall, London.
3. Calligaris, M., & Johnson, M.A. (1999). Power system studies and new benchmarking concepts. Proceedings of IASTED international conference on control and applications, Banff, Canada (pp. 211-216).
4. Calligaris M., Johnson M.A. Benchmarking for hierarchical voltage control: IFAC symposium on power plants and power systems control 2000. 2000;Brussels, Belgium.
5. Clarke D.W., Hastings-James R. Design of digital controllers for randomly disturbed systems. Proceedings of IEE. 118(10):1971;1503-1506.
6. Codling, S. (1992). Best practice benchmarking. Industrial Newsletters. Dunstable, Beds, Uniskill Ltd.
7. Desborough L.D., Harris T.J. Performance assessment measures for univariate feedback control. The Canadian Journal of Chemical Engineering. 70:1992;1186-1197.
8. Desborough L.D., Harris T.J. Performance assessment measures for univariate feedback/feedforward control. The Canadian Journal of Chemical Engineering. 71:1993;605-615.
9. Desborough L.D., Harris T.J. Control performance assessment. Pulp and Paper Canada. 95(11):1995;441-443.
10. Grimble, M.J. (1984). Implicit and explicit LQG self-tuning controllers. IFAC World Congress, Budapest.
11. Grimble M.J. Generalized minimum variance control law revisited. Optimal Control Applications and Methods. 9:1988;63-77.
12. Grimble, M.J. (2000). Restricted structure LQG optimal control for continuous-time systems. IEE proceedings of control theory and applications, Vol. 147, No. 2.
13. Grimble M.J. Industrial control systems design. 2001;Wiley, Chichester.
14. Harris T. Assessment of closed loop performance. The Canadian Journal of Chemical Engineering. 67:1989;856-861.
15. Huang B., Shah S.L. Performance assessment of control loops: theory and applications. 1999;Springer, London.
16. Huang B., Shah S.L., Kwok E.K. Good, bad or optimal, performance assessment of multivariable processes. Automatica. 33(6):1997;1175-1183.
17. McGregor J.F., Tidwell P.W. Correspondence item. discrete stochastic control with input constraints Proceedings of IEE. 124(8):1977;732-734.
18. Moden, P.E., & Soderstrom, T. (1978). On the achievable accuracy in stochastic control. Proceedings of the 17th IEEE conference on decision and control (pp. 490-495).
19. Rolstadas A. Benchmarking - theory and practice. 1995;Chapman & Hall, London.
20. Thornhill N.F., Oettinger M., Fedenczuk P. Refinery-wide control loop performance assessment. Journal of Process Control. 9:1999;109-124.