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Selected Publications on MPC
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F. Allgöwer, R. Findeisen, and
C. Ebenbauer.
Nonlinear model predictive control.
Encyclopedia for Life Support Systems (EOLSS) article contribution 6.43.16.2,
2004.
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[2] |
R. Findeisen, L. Imsland,F. Allgöwer, and B.A. Foss.
Towards a sampled-data theory for nonlinear model predictive control.
In C. Kang, M. Xiao, and W. Borges, editors, New Trends in Nonlinear
Dynamics and Control, and their Applications, Lecture Notes in Control
and Information Sciences, 295, pages 295-313, New York, 2003.
Springer-Verlag.
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[3] |
R. Findeisen, L. Imsland,
F. Allgöwer, and B.A. Foss.
State and output feedback nonlinear model predictive control: An overview.
Europ. J. Contr., 9(2-3):190-207, 2003.
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[4] |
M. Diehl, R. Findeisen, H.G. Bock, J.P.
Schlöder, and F. Allgöwer.
Nominal stability of the real-time iteration scheme for nonlinear model
predictive control.
IEE Control Theory Appl., 2003.
(Accepted for publication).
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[5] |
R. Findeisen, L. Imsland,
F. Allgöwer, and B.A. Foss.
Output feedback stabilization for constrained systems with nonlinear model
predictive control.
Int. J. of Robust and Nonlinear Control, 13(3-4):211-227,
2003.
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[6] |
M. Diehl, R. Findeisen, S. Schwarzkopf,
I. Uslu, F. Allgöwer, H.G. Bock, and J.P. Schlöder.
An efficient approach for nonlinear model predictive control of large-scale
systems. Part II: Experimental evaluation considering the control of a
distillation column.
Automatisierungstechnik, 51(1):22-29, 2003.
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[7] |
L. Imsland, R. Findeisen,
E. Bullinger, F. Allgöwer, and B.A. Foss.
A note on stability, robustness and performance of output feedback nonlinear
model predictive control.
J. of Process Control, 13(7):633-644, 2003.
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[8] |
L. Magni, G. De Nicolao, R. Scattolini,
and F. Allgöwer.
Robust receding horizon control of nonlinear discrete-time systems.
13(3-4):229-246, 2003.
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[9] |
M. Diehl, R. Findeisen, S. Schwarzkopf,
I. Uslu, F. Allgöwer, H. G. Bock, and J.P. Schlöder.
An efficient approach for nonlinear model predictive control of large-scale
systems part I: Description of the methodology.
Automatisierungstechnik, 50(12):557-567, 2002.
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[10] |
R. Findeisen and F. Allgöwer.
The quasi-infinite horizon approach to nonlinear model predictive control.
In A. Zinober and D. Owens, editors, Nonlinear and Adaptive
Control, Lecture Notes in Control and Information Sciences, pages
89-105, Berlin, 2002. Springer-Verlag.
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[11] |
F. Allgöwer and A. Zheng.
Nonlinear Predictive Control: Assesment and Future Directions for
Research, volume 26 of Progress in Systems and Control
Theory.
Birkhäuser, Basel, 2000.
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[12] |
F. Allgöwer, T.A. Badgwell, J.S. Qin, J.B. Rawlings, and S.J. Wright.
Nonlinear predictive control and moving horizon estimation -- An introductory
overview.
In P.M. Frank, editor, Advances in Control, Highlights of
ECC'99, pages 391-449. Springer, 1999.
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[13] |
H. Chen and F. Allgöwer.
A quasi-infinite horizon nonlinear model predictive control scheme with
guaranteed stability.
34(10):1205-1218, 1998.
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[14] |
H. Chen and F. Allgöwer.
Nonlinear model predictive control schemes with guaranteed stability.
In R. Berber and C. Kravaris, editors, Nonlinear Model Based Process
Control, pages 465-494. Kluwer Academic Publishers, Dodrecht, 1998.
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Universität Stuttgart