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Model Predictive Control
Tube-based distributionally robust model predictive control for nonlinear process systems via linearization
Model predictive control (MPC) is an effective approach to control multivariable dynamic systems with constraints. Most real dynamic …
Dr. Zhengang Zhong
,
Dr. Ehecatl Antonio del Rio Chanona
,
Panagiotis Petsagkourakis
Cite
DOI
URL
Tube-based distributionally robust model predictive control for nonlinear process systems via linearization
Model predictive control (MPC) is an effective approach to control multivariable dynamic systems with constraints. Most real dynamic …
Dr. Zhengang Zhong
,
Dr. Ehecatl Antonio del Rio Chanona
,
Panagiotis Petsagkourakis
Cite
DOI
URL
Distributionally Robust MPC for Nonlinear Systems
Classical stochastic model predictive control (SMPC) methods assume that the true probability distribution of uncertainties in …
Dr. Zhengang Zhong
,
Dr. Ehecatl Antonio del Rio Chanona
,
Panagiotis Petsagkourakis
Cite
DOI
URL
Piecewise Smooth Hybrid System Identification for Model Predictive Control
Complex systems which exhibit different dynamics based on their operating region pose challenges for data driven control because a …
Ilya Stolyarov
,
Dr. Ilya Orson Sandoval
,
Panagiotis Petsagkourakis
,
Dr. Ehecatl Antonio del Rio Chanona
Cite
DOI
URL
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