Improving performance and stability of MRI methods in closed-loop

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Date
2012
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Abstract
Two representative approaches for MRI methods are reported in the literature. The first one is based on the solution of an optimal problem, while the second is based on the prefiltering of the system input and output signals. Each method has advantages and disadvantages according to the process to identify, the length of the prediction horizon or its mathematical implementation. Herein a new MRI method is proposed (C-EMPEM), based on the advantages of both algorithms and on some improvements. The new method was developed to identify either closed-loop or open-loop systems. A comparison is performed among some MRI and PEM methods and the new one proposed, considering a closed-loop system. The results indicate that in the studied case, the performance of the new method is better. © 2012 IFAC.
  1. Model predictive control
  2. Optimal prediction
  3. Prediction error method
  4. Process identification
  5. Error analysis
  6. Forecasting
  7. Model predictive control
  8. Improving performance
  9. Input and outputs
  10. Open loop systems
  11. Optimal predictions
  12. Optimal problems
  13. Prediction error method
  14. Prediction horizon
  15. Process identification
  16. Closed loop systems
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-84867048139&doi=10.3182%2f20120710-4-SG-2026.00106&partnerID=40&md5=2cb9997e8607cbf68b9d51561a20c2d9
https://repositorio.maua.br/handle/MAUA/908
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