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- Title
NON-LINEAR MODEL PREDICTIVE CONTROL: A PERSONAL RETROSPECTIVE.
- Authors
Bequette, B. Wayne
- Abstract
An overview of non-linear model predictive control (NMPC) is presented, with an extreme bias towards the author's experiences and published results. Challenges include multiple solutions (from non-convex optimization problems), and divergence of the model and plant outputs when the constant additive output disturbance (the approach of dynamic matrix control, DMC) is used. Experiences with the use of fundamental models, multiple linear models (MMPC), and neural networks are reviewed. Ongoing work in unmeasured disturbance estimation, prediction and rejection is also discussed.
- Subjects
MATHEMATICAL optimization; MATHEMATICAL models; BIOLOGICAL divergence; MULTILINEAR algebra; LINEAR statistical models; STATISTICS
- Publication
Canadian Journal of Chemical Engineering, 2007, Vol 85, Issue 4, p408
- ISSN
0008-4034
- Publication type
Article
- DOI
10.1002/cjce.5450850403