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Autocovariance-based plant-model mismatch estimation for linear model predictive control.
- Source :
-
Systems & Control Letters . Jun2017, Vol. 104, p5-14. 10p. - Publication Year :
- 2017
-
Abstract
- In this paper, we present autocovariance-based estimation as a novel methodology for determining plant-model mismatch for multiple-input, multiple-output systems operating under model predictive control. Considering discrete-time, linear time invariant systems under reasonable assumptions, we derive explicit expressions of the autocovariances of the system inputs and outputs as functions of the plant-model mismatch. We then formulate the mismatch estimation problem as a global optimization aimed at minimizing the discrepancy between the theoretical autocovariance estimates and the corresponding values computed from historical closed-loop operating data. Practical considerations related to implementing these ideas are discussed, and the results are illustrated with a chemical process case study. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 01676911
- Volume :
- 104
- Database :
- Academic Search Index
- Journal :
- Systems & Control Letters
- Publication Type :
- Academic Journal
- Accession number :
- 123158672
- Full Text :
- https://doi.org/10.1016/j.sysconle.2017.03.002