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  COMPUTATIONAL FEASIBILITY AND PERFORMANCE OF NONLINEAR MODEL PREDICTIVE CONTROL SCHEMES [2 citations — 2 self]

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by R. Findeisen, M. Diehl, Z. Nagy, F. Allgöwer, H. G. Bock, J. P. Schlöder
http://www.ist.uni-stuttgart.de/reports/description/../pdf/2001-8.pdf
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Abstract:

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 successful application of NMPC in practice is possible. In this paper we examine the computational demand and performance of different (efficient) NMPC schemes if specially tailored dynamic optimization strategies are used. As example process we consider the control of a high purity distillation column. 1

Citations

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