Decentralized model predictive control of dynamically coupled linear systems

Journal of Process Control

Volumn 21, Issue 5, 2011, Pages 705-714

  Alessio, Alessandro ^a   Barcelli, Davide ^a,b   Bemporad, Alberto ^b  

^a UNIVERSITY OF SIENA   (Italy)

^b UNIVERSITY OF TRENTO   (Italy)

Author keywords

Decentralized control; Model predictive control; Multi layer control; Networked control; Packet loss

Indexed keywords

ASYMPTOTIC CLOSED LOOPS; ASYMPTOTIC TRACKING; ASYMPTOTICALLY STABLE; COMPUTATIONAL BURDEN; COUPLED LINEAR SYSTEMS; DECENTRALIZED CONTROLLER; DECENTRALIZED MODEL PREDICTIVE CONTROLS; DECENTRALIZED TEMPERATURE; DYNAMICAL PROCESS; GLOBAL MODELS; INPUT CONSTRAINTS; LARGE SCALE SIMULATIONS; LOCAL PREDICTION; MEASUREMENT DATA; MULTI-LAYER CONTROL; NETWORKED CONTROLS; OPEN LOOPS; SETPOINTS; SHARED INFORMATION; SUBMODELS; UNSTABLE SYSTEM; WIRELESS SENSOR;

CONTROLLERS; DECENTRALIZED CONTROL; LINEAR SYSTEMS; PREDICTIVE CONTROL SYSTEMS; STABILITY CRITERIA;

MODEL PREDICTIVE CONTROL;

EID: 79955766460     PISSN: 09591524     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jprocont.2010.11.003     Document Type: Article

References (29)

1. N. Sandell, P. Varaiya, M. Athans, and M. Safonov Survey of decentralized control methods for large scale systems IEEE Trans. Autom. Control 23 2 1978 108 128 (Pubitemid 8595795)
2. M. Rotkowitz, and S. Lall A characterization of convex problems in decentralized control IEEE Trans. Autom. Control 51 2 2006 1984 1996
3. S. Samar, S. Boyd, and D. Gorinevsky Distributed estimation via dual decomposition Proc. European Control Conf. Kos, Greece 2007 1511 1516
4. B. Johansson, T. Keviczky, M. Johansson, and K. Johansson Subgradient methods and consensus algorithms for solving convex optimization problems Proc. 47th IEEE Conf. on Decision and Control. Cancun, Mexico 2008 4185 4190
5. E. Camacho, and C. Bordons Model Predictive Control. Advanced Textbooks in Control and Signal Processing 2nd ed. 2004 Springer-Verlag London
6. D. Mayne, J. Rawlings, Model Predictive Control: Theory and Design, Nob Hill Publishing, LCC, Madison, WI, 2009, ISBN 978-0-9759377-0-9.
7. A. Bemporad, and D. Barcelli Decentralized model predictive control A. Bemporad, W. Heemels, M. Johansson, Networked Control Systems. Lecture Notes in Control and Information Sciences 2010 Springer-Verlag Berlin Heidelberg 149 178
8. E. Camponogara, D. Jia, B. Krogh, and S. Talukdar Distributed model predictive control IEEE Control Syst. Mag. 2002 44 52 (Pubitemid 34228794)
9. A. Venkat, J. Rawlings, and J. Wright Stability and optimality of distributed model predictive control Proc. 44th IEEE Conf. on Decision and Control and European Control Conf. Seville, Spain 2005
10. A. Venkat, J. Rawlings, and J. Wright Implementable distributed model predictive control with guaranteed performance properties Proc. American Contr. Conf. Minneapolis, MN 2006 613 618 (Pubitemid 46530879)
11. A. Venkat, I. Hiskens, J. Rawlings, and S. Wright Distributed MPC strategies with application to power system automatic generation control IEEE Trans. Control Syst. Technol. 16 6 2008 1192 1206
12. W. Dunbar, and R. Murray Distributed receding horizon control with application to multi-vehicle formation stabilization Automatica 42 4 2006 549 558 (Pubitemid 43267649)
13. T. Keviczky, F. Borrelli, and G. Balas Decentralized receding horizon control for large scale dynamically decoupled systems Automatica 42 12 2006 2105 2115 (Pubitemid 44647201)
14. M.F.D. Mercangöz III Distributed model predictive control of an experimental four-tank system J. Process Control 17 3 2007 297 308
15. L. Magni, and R. Scattolini Stabilizing decentralized model predictive control of nonlinear systems Automatica 42 7 2006 1231 1236 (Pubitemid 43767483)
16. J. Liu, D. Munoz de la Pena, and P. Christofides Distributed model predictive control of nonlinear process systems AIChE J. 55 5 2009 1171 1184
17. J. Liu, D. Munoz de la Pena, and P. Christofides Distributed model predictive control of nonlinear systems subject to asynchronous and delayed measurements Automatica 46 1 2010 52 61
18. P. Trodden, and A. Richards Distributed model predictive control of linear systems with persistent disturbances Int. J. Control 83 8 2010 1653 1663
19. A. Alessio, and A. Bemporad Decentralized model predictive control of constrained linear systems Proc. European Control Conf. Kos, Greece 2007 2813 2818
20. A. Alessio, and A. Bemporad Stability conditions for decentralized model predictive control under packet dropout Proc. American Contr. Conf. Seattle, WA 2008 3577 3582
21. D. Barcelli, and A. Bemporad Decentralized model predictive control of dynamically-coupled linear systems: tracking under packet loss 1st IFAC Workshop on Estimation and Control of Networked Systems. Venice, Italy 2009 204 209
22. WIDE toolbox for MATLAB (2010) http://www.wide.dii.unisi.it/toolbox.
23. A. Bemporad, M. Morari, V. Dua, and E. Pistikopoulos The explicit linear quadratic regulator for constrained systems Automatica 38 1 2002 3 20 (Pubitemid 33034535)
24. Z.P. Jiang, and Y. Wang Input-to-state stability for discrete-time nonlinear systems Automatica 37 6 2001 857 869 (Pubitemid 32426067)
25. M. Johannson, and A. Rantzer Computation of piece-wise quadratic Lyapunov functions for hybrid systems IEEE Trans. Autom. Control 43 4 1998 555 559 (Pubitemid 128737378)
26. P. Grieder, and M. Morari Complexity reduction of receding horizon control Proc. 42th IEEE Conf. on Decision and Control. Maui, Hawaii, USA 2003 3179 3184
27. J. Sijs, M. Lazar, P. van den Bosch, and Z. Papp An overview of non-centralized kalman filters Proc. 17th IEEE Conference on Control Applications. San Antonio, TX 2008 739 744
28. A. Willig, and R. Mitschke Results of bit error measurements with sensor nodes and casuistic consequences for design of energy-efficient error control schemes Proc. 3rd European Workshop on Wireless Sensor Networks (EWSN) vol. 3868 of Lecture Notes in Computer Science. Springer-Verlag 2006 310 325 (Pubitemid 43978623)
29. A. Bemporad, Hybrid Toolbox - User's Guide (2003) http://www.ing.unitn. it/~bemporad/hybrid/toolbox.