Integrating dynamic economic optimization and model predictive control for optimal operation of nonlinear process systems

By Matthew J. Ellis, Panagiotis D. Christofides. 2014

115 citations recorded by the source corpus.

Subfields: Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/271a51dfc6a9f4700c12b15801af0996f7471f8b

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In Control and Systems Engineering

1. Helen Durand
2. Matthew J. Ellis
3. Panagiotis D. Christofides
4. N. El‐Farra
5. Prashant Mhaskar
6. Antonios Armaou
7. Eduardo Cerpa
8. Stevan Dubljevic

Citations in the corpus

• A tutorial review of economic model predictive control methods (2014, methodology): “Other theoretical developments on LEMPC include designing a state-estimation-based LEMPC using high-gain observers and moving horizon estimation [69,55], formulating an LEMPC scheme for switched systems [71], utilizing LEMPC or Lyapunov-based design concepts to design two-layer control structures fe”