COMPUTATIONAL FEASIBILITY AND PERFORMANCE OFNONLINEAR MODEL PREDICTIVE CONTROL SCHEMES (2008)
R. Findeisen, M. Diehly, H. G. Bocky, J. P. Schl"odery
Abstract In recent years many theoretical issues related to nonlinearmodel predictive control (NMPC) have been addressed and solved. However there remain a number of problems that haveto be solved...
Fey, D., Findeisen, R., Bullinger, E.
An essential part of mathematical modelling is the accurate and reliable estimation of model parameters. In biology, the required parameters are particularly difficult to measure due to either...
Fey, D., Findeisen, R., Bullinger, E.
An essential part of mathematical modelling is the accurate and reliable estimation of model parameters. In biology, the required parameters are particularly difficult to measure due to either...
M. Diehl, R. Findeisen, S. Schwarzkopf, I. Uslu, H. G. Bock, E. D. Gilles
The purpose of this paper is twofold: rst, we present an ecient state-of-the-art algorithm for online optimization in nonlinear model predictive control (NMPC), the so called real-time iteration...
Nominal stability of real-time iteration scheme for nonlinear model predictive control (2005)
Findeisen, R, Allgower, F, Bock, HG, Schloder, JP
A Newton-type method is investigated for online optimisation in nonlinear model predictive control, the so-called real-time iteration scheme. Only one Newton-type iteration is performed per sampling...
Imsland, L., Findeisen, R., Bullinger, E.*, Allgower, F., Foss, B.A.
In recent years, nonlinear model predictive control (NMPC) schemes have been derived that guarantee stability of the closed loop under the assumption of full state information. However, only limited...
Imsland, L., Findeisen, R., Bullinger, E., Allgower, F., Foss, B.A.
In recent years, nonlinear model predictive control (NMPC) schemes have been derived that guarantee stability of the closed loop under the assumption of full state information. However, only limited...
Imsland, L., Findeisen, R., Bullinger, E., Allgower, F., Foss, B.A.
In recent years, nonlinear model predictive control (NMPC) schemes have been derived that guarantee stability of the closed loop under the assumption of full state information. However, only limited...
Bock, HG, Schloder, JP, Findeisen, R, Nagy, Z, Allgower, F
Optimization problems in chemical engineering often involve complex systems of nonlinear DAE as the model equations. The direct multiple shooting method has been known for a while as a fast off-line...
Diehl,M., Uslu,I., Findeisen,R., Schwarzkopf,S., Allgöwer,F., Bock,H. G., ...
The purpose of this paper is an experimental proof-of-concept of the application of NMPC for large scale systems using specialized dynamic optimization strategies. For this aim we investigate the...
Diehl, M., Uslu, I., Findeisen, R., Schwarzkopf, S., Allgöwer, F., Bock, H. G., ...
The purpose of this paper is an experimental proof-of-concept of the application of NMPC for large scale systems using specialized dynamic optimization strategies. For this aim we investigate the...
Computational feasibility and performance of nonlinear model predicitve control schemes (2001)
R. Findeisen, M. Diehl, Z. Nagy, F. Allgöwer, H. G. Bock, J. P. Schlöder
In recent years many theoretical issues related to nonlinear model predictive control (NMPC) have been addressed and solved. However there remain a number of problems that have to be solved before a...
Computational feasibility and performance of nonlinear model predicitve control (2001)
R. Findeisen, M. Diehl, Z. Nagy, F. Allgöwer, H. G. Bock, J. P. Schlöder
In recent years many theoretical issues related to nonlinear model predictive control (NMPC) have been addressed and solved. However there remain a number of problems that have to be solved before a...
R. Findeisen, L. Imsl, F. Allgöwer, B. A. Foss
high-gain observers In the recent years various nonlinear model predictive control (NMPC) schemes have been derived that achieve guaranteed stability of the closed loop. However, most of these...
A nonlinear model predictive control scheme for the stabilization of setpoint families (2000)
Changing product specications and load changes require that operating points have to be changed frequently during the operation of many processes. The nonlinear model predictive control (NMPC)...
Nonlinear predictive control for setpoint families (2000)
R. Findeisen, R. Findeisen, H. Chen, H. Chen
Varying product specications and load changes require that operating points have to be changed frequently during the operation of many processes. Hence controllers have to guarantee stability for all...