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Advances in sensitivity-based nonlinear model predictive control and dynamic real-time optimization

  • Published:2015-06 Issue: Volume:30 Page:104-116
  • ISSN:0959-1524
  • Container-title:Journal of Process Control
  • language:en
  • Short-container-title:Journal of Process Control

Author:

Biegler L.T.,Yang X.,Fischer G.A.G.

Funder

National Science Foundation

Department of Energy

Center for Advanced Process Decision-Making (CAPD) at Carnegie Mellon

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Modelling and Simulation,Control and Systems Engineering

Reference60 articles.

1. A fast and versatile technique for constrained state estimation;Abrol;J. Process Control,2011

2. Optimizing process economics online using model predictive control;Amrit;Comput. Chem. Eng.,2013

3. On average performance and stability of economic model predictive control;Angeli;IEEE Trans. Autom. Control,2012

4. A tutorial on particle filters for on-line non-linear/non-Gaussian Bayesian tracking;Arulampalam;IEEE Trans. Signal Process.,2002

5. A survey on sensitivity-based nonlinear model predictive control;Biegler,2013

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