| Publication type: |
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Scientific Book chapter |
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| Subject: |
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| Title: |
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A Framework for Monitoring Control updating Period in Real-Time Nonlinear Model Predictive Control |
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| Author(s): |
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Mazen Alamir ( ) 1 |
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| Laboratory: |
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| Abstract: |
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In this contribution, a general scheme is proposed that enables the control updating period used in Nonlinear Model Predictive Control (NMPC) scheme to be dynamically optimized. Such a scheme can be of great interest when applying NMPC to systems with fast dynamics. The updating scheme is based on the on-line identification of generic models for both solver efficiency and disturbance effect on the optimal cost behavior. The efficiency of the proposed approach is illustrated on several examples. |
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| Fulltext language: |
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English |
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| Book title: |
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Assessement and Future Directions of Nonlinear Model Predictive Control |
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| Commercial editor: |
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Springer |
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| Publication date: |
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2008 |
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| Page: |
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-- |
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| Scientifics editor: |
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L. Magni, D. Raimondo and F. Allgöwer |
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| Serie: |
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Lecture Notes in Control and Information Sciences |
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| Internal note: |
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Département Automatique |
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