Adaptive robust control under unknown plant orders

Automatica

Volumn 34, Issue 6, 1998, Pages 723-730

  Veres, S M ^a   Sokolov, V F ^b  

^a UNIVERSITY OF BIRMINGHAM   (United Kingdom)

^b SYKTYVKAR STATE UNIVERSITY   (Russian Federation)

Author keywords

Parameter bounding; Robust adaptive control; Self tuning control; Unmodelled dynamics

Indexed keywords

COMPUTER SIMULATION; LINEAR CONTROL SYSTEMS; MATHEMATICAL MODELS; ROBUSTNESS (CONTROL SYSTEMS);

ROBUST ADAPTIVE CONTROLLER SWITCHES;

ADAPTIVE CONTROL SYSTEMS;

EID: 0032091481     PISSN: 00051098     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0005-1098(98)00007-7     Document Type: Article

References (33)

1. Åström, K. J. and B. Wittenmark (1971). Problems of identification and control. J Math. Anal. Appl., 34, 90-113.
2. Åström, K. J. and B. Wittenmark (1973). On self-tuning regulators, Automatica, 9, 195-199.
3. Bányász, Cs. and L. Keviczky (1994). A new indirect adaptive time-delay estimation method. In Trans. SYSID'94, Copenhagen, pp. 549-554.
4. Buesher, K. L. and P. R. Kumar (1993). Selecting model complexity in learning problems. In Trans. 32nd CDC, San Antonio, pp. 3527-3533.
5. Chapellat, H., M. Dahleh and S. P. Bhattacharyya. (1990). Robust stability under structured and unstructured perturbations. IEEE Trans. Automat. Control, AC-35, 1100-1108.
6. Dahleh, M. and M. A. Dahleh (1990). Optimal rejection of persistent and bounded disturbances: continuity properties and adaptation. IEEE Trans. Automat. Control, AC-35, 687-696.
7. Dahleh, M. A. and M. H. Khammash (1993). Control design for plants with structured uncertainty. Automatica, 29, 37-56.
8. Goodwin, G. C., B. Ninness, P. Cockerell and Salgado (1990). Illustration of an integrated approach to adaptive control. Int. J. Adaptive Control Signal Process., 4, 149-162.
9. Gevers, M., (1995). Identification for control. In Preprints 5th IFAC Symp Adaptive Systems in Control and Signal Processing, Budapest, pp. 1-12.
10. Giri, F., J. M. Dion, M. M'Saad and L. Dugard (1989). A globally convergent pole-placement indirect adaptive controller. IEEE Trans. Automat. Control, AC-34, 353-356.
11. Goodwin, G. C. (1991). Can we identify adaptive control? In Proc. ECC'91, Grenoble, pp. 1714-1725.
12. Goodwin, G. C., P. J. Ramadge and P. E. Caines (1981). Discrete time stochastic adaptive control. SIAM J. Control Optim., 19, 829-853.
13. Khammash, M. H. (1994). Robust performance bounds for systems with time-varying uncertainty, In Proc. of the 33rd Conference on Decision and Control, Lake Buena Vista, FL, pp. 28-33.
14. Khammash, M. H. (1995). Robust steady-state tracking. IEEE Trans. Automat. Control, AC-40, 1872-1880.
15. Khammash, M. H. and J. B. Pearson (1991). Performance robustness of discrete-time systems with structured uncertainty. IEEE Trans. Automat. Control, AC-36, 398-412.
16. Khammash, M. H. and J. B. Pearson (1993). Analysis and design for robust performance with structured uncertainty. Systems Control Lett., 20, 179-187.
17. Kosut, R. L., M. K. Lau and S. P. Boyd (1992). Set-membership identification of systems with parametric and nonparametric uncertainty. IEEE Trans. Automat. Control, AC-37, 929-941.
18. Kreisselmeier, G. and M. C. Smith (1986). Stable adaptive regulation of arbitrary nth order plants. IEEE Trans. Automat. Control, AC-31, 299-305.
19. Lozano, L. R. and G. C. Goodwin (1985). A globally convergent adaptive pole placement algorithm without a persistancy of excitation requirement. IEEE Trans. Automat Control, AC-30, 795-798.
20. Lozano, R. and X. H. Zhao (1994). Adaptive pole-placement without excitation probing signals. IEEE Trans. Automat. Control, AC-39, 47-58
21. Middleton, R. H., G. C. Goodwin, D. J. Hill and D. Q. Mayne (1988). Design issues in adaptive control. IEEE Trans Automat. Control, AC-33, 50-58.
22. Narendra, K. S. and J. Balakrishnan (1994). Improving transient response of adaptive control systems using multiple models and switching. IEEE Trans. Automat. Control, AC-39, 1861-1866.
23. Pikhardt, R. and H. Unbehauen (1996). Adaptive control of plants subject to changes of structure and parameters using a multi-model approach. In Proc. UKACC Int. Conf on Control'96, September, IEE Conf. Publ. No. 427, Vol. I, pp. 656-661.
24. Sokolov, V. F. (1996). Closed-loop identification for the best asymptotic performance of adaptive robust control. Automatica, 32, 1163-1176.
25. Sokolov, V. F. (1997). Robust performance bounds for scalar output of linear system with structured uncertainty. In Proc. European Control Conf., ECC'97, 1-4 July, Brussels, 1997.
26. Sokolov, V and S. M. Veres (1997). Adaptive robust steady-state tracking control. In Proc. American Control Conf., 4-6 June, Albuquerque, New Mexico, pp. 1198-1202.
27. Tse, E. and Bar-Shalom (1973). An actively adaptive control for linear systems with random parameters via the dual control approach. IEEE Trans. Automat. Control, AC-18, 109-117.
28. Van den Hof, P. and R. J. P. Schrama (1994). Identification and control closed loop issues. In Preprints 10th IFAC/IFORS Symp. on System Identification, Copenhagen, pp. 1-14.
29. Veres, S. M. (1992). Limited complexity and parallel implementation of polytope updating. In Proc. American Control Conf., 24-26 June, 1992, Chicago, pp. 1061-1062.
30. Veres, S. M. and J. P. Norton (1991). Structure selection for bounded parameter models: consistency conditions and selection criterion. IEEE Trans. Automat. Control, AC-36, 474-481.
31. Veres, S. M. and J. P. Norton (1993). Predictive self-tuning control by parameter bounding and worst-case design. Automatica, 29, 911-928.
32. Veres, S. M., D. S. Wall, S. Hermsmeyer, I. Valyi, A. V. Kuntsevich and S. Sheng (1996). The Geometric Bounding Toolbox for MATLAB. Software licensed by the University of Birmingham, Birmingham.
33. Weyer, E., I. M. Y. Mareels and J. W. Polderman (1994). Limitations of robust adaptive pole placement control. IEEE Trans. Automat. Control, 39, 1665-1671.