Economic Model Predictive Control: Some Design Tools and Analysis Techniques

Research output: Chapter in book/report/conference proceedingContribution to book/anthologyResearchpeer review

Authors

External Research Organisations

  • Imperial College London
  • University of Florence (UniFi)
  • University of Stuttgart
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Details

Original languageEnglish
Title of host publicationHandbook of Model Predictive Control
PublisherSpringer International Publishing AG
Pages145-167
ISBN (electronic)978-3-319-77489-3
ISBN (print)978-3-319-77488-6
Publication statusPublished - 1 Sept 2018
Externally publishedYes

Publication series

NameControl Engineering
PublisherBirkhäuser

Cite this

Economic Model Predictive Control: Some Design Tools and Analysis Techniques. / Angeli, David; Müller, Matthias A.
Handbook of Model Predictive Control. Springer International Publishing AG, 2018. p. 145-167 Chapter 7 (Control Engineering).

Research output: Chapter in book/report/conference proceedingContribution to book/anthologyResearchpeer review

Angeli, D & Müller, MA 2018, Economic Model Predictive Control: Some Design Tools and Analysis Techniques. in Handbook of Model Predictive Control., Chapter 7, Control Engineering, Springer International Publishing AG, pp. 145-167. https://doi.org/10.1007/978-3-319-77489-3_7
Angeli, D., & Müller, M. A. (2018). Economic Model Predictive Control: Some Design Tools and Analysis Techniques. In Handbook of Model Predictive Control (pp. 145-167). Article Chapter 7 (Control Engineering). Springer International Publishing AG. https://doi.org/10.1007/978-3-319-77489-3_7
Angeli D, Müller MA. Economic Model Predictive Control: Some Design Tools and Analysis Techniques. In Handbook of Model Predictive Control. Springer International Publishing AG. 2018. p. 145-167. Chapter 7. (Control Engineering). doi: 10.1007/978-3-319-77489-3_7
Angeli, David ; Müller, Matthias A. / Economic Model Predictive Control : Some Design Tools and Analysis Techniques. Handbook of Model Predictive Control. Springer International Publishing AG, 2018. pp. 145-167 (Control Engineering).
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