Low-complexity model predictive control of electromagnetic actuators with a stability guarantee

Proceedings of the American Control Conference

Volumn , Issue , 2009, Pages 2708-2713

  Hermans, R M ^a   Lazar, M ^a   Di Cairano, S ^b   Kolmanovsky, I V ^b  

^a EINDHOVEN UNIVERSITY OF TECHNOLOGY   (Netherlands)

^b FORD MOTOR COMPANY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

A-STABILITY; CONTROL CONSTRAINT; CONTROLLER DESIGNS; ELECTROMAGNETIC ACTUATORS; IN-CONTROL; LINEAR PROGRAMS; LOW-COMPLEXITY; MECHANICAL SYSTEMS; MODERN MICROPROCESSOR; MULTI-PARAMETRIC PROGRAMMING; NON-LINEAR DYNAMICS; NON-LINEAR MODEL; OPTIMIZATION VARIABLES; PIECEWISE AFFINE MODELS; PIECEWISE AFFINES; PREDICTION HORIZON; SIMULATION RESULT;

ACTUATORS; COMPUTATIONAL COMPLEXITY; CONTROLLERS; DIFFERENTIAL EQUATIONS; LYAPUNOV FUNCTIONS; MACHINE DESIGN; PREDICTIVE CONTROL SYSTEMS; SIMULATORS; VIBRATIONS (MECHANICAL);

MODEL PREDICTIVE CONTROL;

EID: 70449635286     PISSN: 07431619     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ACC.2009.5160328     Document Type: Conference Paper

References (13)

1. D. Hrovat, J. Asgari, and M. Fodor, Automotive mechatronic systems, ser. Mechatronic Systems, Techniques and Applications. New York, USA: Gordon and Breach Science Publishers, 2000, vol. 2, pp. 1-98.
2. J. B. Rawlings, "Tutorial overview of model predictive control," IEEE Control Systems Magazine, vol. 20, no. 3, pp. 38-52, 2000.
3. D. Q. Mayne, J. B. Rawlings, C. V. Rao, and P. O. M. Scokaert, "Constrained model predictive control: Stability and optimality," Automatica, vol. 36, no. 6, pp. 789-814, 2000.
4. S. J. Qin and T. A. Badgwell, "A survey of industrial model predictive control technology," Control Engineering Practice, vol. 93, no. 316, pp. 733-764, 2003.
5. S. Di Cairano, A. Bemporad, I. Kolmanovsky, and D. Hrovat, "Model predictive control of magnetically actuated mass spring dampers for automotive applications," International Journal of Control, vol. 80, no. 11, pp. 1701-1716, 2007.
6. A. Bemporad, F. Borrelli, and M. Morari, "Model predictive control based on linear programming-the explicit solution," IEEE Transactions on Automatic Control, vol. 47, no. 12, pp. 1974-1985, 2002.
7. M. Lazar, "Model predictive control of hybrid systems: Stability and robustness," Ph.D. dissertation, Eindhoven University of Technology, Eindhoven, the Netherlands, 2006.
8. Z.-P. Jiang and Y. Wang, "Input-to-state stability for discrete-time nonlinear systems," Automatica, vol. 37, pp. 857-869, 2001.
9. M. Lazar, "Flexible control Lyapunov functions," 28th American Control Conference, 2009.
10. M. Kvasnica, P. Grieder, M. Baotić, and F. J. Christophersen, Multiparametric Toolbox (Reference Guide), Swiss Federal Institute of Technology Zürich, Zürich, Switzerland, 2006.
11. M. Lazar, W. P. M. H. Heemels, S. Weiland, and A. Bemporad, "Stabilizing model predictive control of hybrid systems," IEEE Transactions on Automatic Control, vol. 51, no. 11, pp. 1813-1818, 2006.
12. L. G. Bleris, P. D. Vouzis, M. G. Arnold, and M. V. Kothare, "A co-processor FPGA platform for the implementation of real-time model predictive control," in 25th American Control Conference, Minneapolis, USA, 2006, pp. 1912-1917.
13. K. V. Ling, S. P. Yue, and J. M. Maciejowski, "A FPGA implementation of model predictive control," in 25th American Control Conference, Minneapolis, USA, 2006, pp. 1930-1935.