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Stochastic data-driven model predictive control using gaussian processes

  • Published:2020-08 Issue: Volume:139 Page:106844
  • ISSN:0098-1354
  • Container-title:Computers & Chemical Engineering
  • language:en
  • Short-container-title:Computers & Chemical Engineering

Author:

Bradford Eric,Imsland Lars,Zhang Dongda,del Rio Chanona Ehecatl Antonio

Publisher

Elsevier BV

Subject

Computer Science Applications,General Chemical Engineering

Reference68 articles.

1. Growth Kinetics of Photosynthetic Microorganisms;Aiba,1982

2. Randomized methods for design of uncertain systems: sample complexity and sequential algorithms;Alamo;Automatica,2015

3. Nonlinear model predictive control: from theory to application;Allgöwer;J. Chin. Inst. Chem. Eng,,2004

4. CasADi: a software framework for nonlinear optimization and optimal control;Andersson;Mathematical Programming Computation,2019

5. Numerical methods for chemical engineering: applications in matlab;Beers,2007

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