Modelling and predictive control: Enabling technologies for reconfiguration

Annual Reviews in Control

Volumn 23, Issue , 1999, Pages 13-23

  Maciejowski, J M ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; AUTOMATION; CONSTRAINT THEORY; CONTROL SYSTEM ANALYSIS; CONTROL SYSTEM SYNTHESIS; FAULT TOLERANT COMPUTER SYSTEMS; LARGE SCALE SYSTEMS; MATHEMATICAL MODELS; OBJECT ORIENTED PROGRAMMING;

CONSTRAINED PREDICTIVE CONTROL SYSTEMS; CONTROL RECONFIGURATIONS; HIGH-FIDELITY MODELING; MODEL APPROXIMATIONS;

PREDICTIVE CONTROL SYSTEMS;

EID: 0032669513     PISSN: 13675788     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1367-5788(99)00003-6     Document Type: Article

References (33)

1. Cellier, F.E. (1991). Continuous System Modeling. Springer-Verlag.
2. Chou, C.T. and J.M. Maciejowski (1997). System identification using balanced parametrizations. IEEE Trans. Automatic Control.
3. Clarke, D.W., C. Mohtadi and P.S. Tuffs (1987). Generalised predictive control - parts 1 and 2. Automatica 23, 137-160.
4. Clarke, D.W., Ed.) (1994). Advances in Model-Based Predictive Control. Oxford University Press.
5. Cutler, C.R. and B.L. Ramaker (1980). Dynamic matrix control - a computer control algorithm. In: Proc. American Control Conf., San Francisco. pp. Paper WP5-B.
6. Dolph, G.A. (1995). Dynamic simulation for emergency control strategies. HTI Quarterly.
7. Elmqvist, H. (1978). A structured model language for large continuous systems. Technical Report LUTFD2/(TFRT-1015)/1-226. Lund Institute of Technology.
8. Faulkner, A. (1993). Smart actuator systems: a practical solution?. In: Proc. Conf. Aerospace Hydraulics and Systems. Inst. Mechanical Engineers. London. pp. 123-132.
9. Gevers, M. (1993). Towards a joint design of identification and control?. In: Essays on Control: Perspectives in the Theory and its Applications (H. Trentelman and J.C. Willems, Eds.). Birkhaüser. Boston.
10. Gosney, W.B. (1982). Principles of Refrigeration. Cambridge University Press. Cambridge.
11. Henry, M.P. and G.C. Wood (1992). The implications of digital communications on sensor validation. In: Proc. IFAC symposium on On-line fault detection and supervision in the chemical process industries. Newark.
12. Hughes, D. and M.A. Dornheim (1989). United DC-10 crashes in Sioux City, Iowa. Aviation Week and Space Technology 131, 96-97.
13. Huzmezan, M. and J.M. Maciejowski (1997a). Flight management using predictive control. In: Robust Flight Control -A Design Challenge (J-F. Magni, S. Bennani and J. Terlouw, Eds.). Vol. 224 of Lecture Notes in Control and Information Sciences. Springer-Verlag. London.
14. Huzmezan, M. and J.M. Maciejowski (1997b). Notes on filtering, robust tracking and disturbance rejection used in model based predictive control schemes. In: These Proceedings.
15. Kothare, M.V., V. Balakrishnan and M. Morari (1996). Robust constrained MPC using linear matrix inequalities. Automatica.
16. Kwong, W.A., K.M. Passino, E.G. Laukonen and S. Yurkovich (1995). Expert supervision of fuzzy learning systems for fault tolerant aircraft control. Proc. IEEE 83, 466-483.
17. Larimore, W.A. (1983). System identification, reduced-order filtering and modeling via canonical variate analysis. In: Proc. American Control Conf.. San Francisco.
18. Lee, J.H. and Z.H. Yu (1994). Tuning of model predictive controllers for robust performance. Computers in Chemical Engineering 18, 15-37.
19. Lin, J. and G.W. Griffiths (1994). A shadow model approach to fault detection and isolation (FDI) in the process industry. In: Colloquium on Fault Diagnosis in the Process Industries: Model-based vs Knowledge-based. Inst. Measurement & Control. London.
20. Maciejowski, J.M. (1996). Parameter estimation of multivariable systems using balanced realizations. In: Identification, Adaptation, Learning (S. Bittanti and G. Picci, Eds.). Vol. F 153 NATO ASI Series. Springer-Verlag. Berlin.
21. Maciejowski, J.M. (1997). The implicit daisy-chaining property of constrained predictive control. Applied Mathematics and Computer Science. Submitted.
22. Magni, J-F., Bennani, S. and Terlouw, J., Eds.) (1997). Robust Flight Control - A Design Challenge. Vol. 224 of Lecture Notes in Control and Information Sciences. Springer-Verlag. London.
23. Marquardt, W. (1996). Trends in computer-aided process modeling. Computers in Chemical Engineering 20, 591-60.
24. Mattsson, S.E. and H. Elmqvist (1997). Modelica - an international effort to design the next generation modeling language. In: World Congress on System Simulation, Singapore, September.
25. Mattsson, S.E., M. Andersson and K.J. Åström (1993). Object-oriented modeling and simulation. In: CAD for Control System (D.A. Linkens, Ed.). Marcel Dekker.
26. Maybeck, P.S. and R.D. Stevens (1991). Reconfigurable flight control via multiple model adaptive control method. IEEE Trans. Aerospace Electron. Syst. 27, 470-479.
27. Mayne, D.Q. and E. Polak (1993). Optimization based design and control. In: Proc. IFAC World Congress, Sydney, July.
28. Moerder, D.D. et al. (1989). Application of precomputed control laws in a reconfigurable aircraft flight control system. J. Guidance, Navigation and Control 12, 325-333.
29. Musgrave, J.L., T-H. Guo, E. Wong and A. Duyar (1997). Real-time accommodation of actuator faults on a reusable rocket engine. IEEE Trans. Control System Technology 5, 100-109.
30. Overschee, P. Van and B. De Moor (1996). Subspace Identification for Linear Systems: Theory, Implementation, Applications. Kluwer Academic Publishers.
31. Prett, D.M. and C.E. Garcia (1988). Fundamental Process Control. Butterworths. Boston.
32. Rauch, H.E. (1995). Autonomous control reconfiguration. IEEE Control Systems Magazine 15, 37-48.
33. Verhaegen, M. and P.M. Dewilde (1992). Subspace model identification, parts 1 and 2. Int. Jnl. Control 56, 1187-1241.