Data-driven Nonlinear MPC using Dynamic Response Surface Methodology

Author:

Pelagagge Federico,Georgakis Christos,Pannocchia Gabriele

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference15 articles.

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4. Design of dynamic experiments: A data-driven methodology for the optimization of time-varying processes;Georgakis;Industrial & Engineering Chemistry Research,2013

5. Hong, T., Zhang, J., Morris, A., Martin, E., and Karim, M. (1996). Neural based predictive control of a multivariable microalgae fermentation. In 1996 IEEE International Conference on Systems, Man and Cybernetics. Information Intelligence and Systems (Cat. No. 96CH35929), volume 1, 345– 350. IEEE.

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