“Predictive Control Based upon State Space Models”
Authors: Jens G. Balchen, Dag Ljungquist and Stig Strand,Affiliation: NTNU, Department of Engineering Cybernetics
Reference: 1989, Vol 10, No 2, pp. 65-76.
Keywords: Optimal control, predictive control, non-linear control system, state-space models, iterative methods, on-line operation
Abstract: Repetitive online computation of the control vector by solving the optimal control problem of a non-linear multivariable process with arbitrary performance indices is investigated. Two different methods are considered in the search for an optimal, parameterized control vector: Pontryagin´s Maximum Principle and optimization by using the performance index and its gradient directly. Unfortunately, solving this optimization problem has turned out to be a rather time-consuming task which has resulted in a time delay that cannot be accepted when the actual process is exposed to rapidly-varying disturbances. However, an instantaneous feedback strategy operating in parallel with the original control aogorithm was found to be able to cope with this problem.

DOI forward links to this article:
[1] MICHAEL A. HENSON and DALE E. SEBORG (1993), doi:10.1080/00207179308923043 |
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BibTeX:
@article{MIC-1989-2-1,
title={{Predictive Control Based upon State Space Models}},
author={Balchen, Jens G. and Ljungquist, Dag and Strand, Stig},
journal={Modeling, Identification and Control},
volume={10},
number={2},
pages={65--76},
year={1989},
doi={10.4173/mic.1989.2.1},
publisher={Norwegian Society of Automatic Control}
};