Handling State and Output Constraints in MPC Using Time-dependent Weights
A popular method for handling state and output constraints in a model predictive control (MPC) algorithm is to use 'soft constraints', in which penalty terms are added directly to the objective function. Improved closed loop performance can be obtained for plants with nontninimum phase zer...
Main Authors: | Morten Hovd, Richard D. Braatz |
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Format: | Article |
Language: | English |
Published: |
Norwegian Society of Automatic Control
2004-04-01
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Series: | Modeling, Identification and Control |
Online Access: | http://www.mic-journal.no/PDF/2004/MIC-2004-2-1.pdf |
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