Data Driven Economic Model Predictive Control
AbstractThis manuscript addresses the problem of data driven model based economic model predictive control (MPC) design. To this end, first, a data-driven Lyapunov-based MPC is designed, and shown to be capable of stabilizing a system at an unstable equilibrium point. The data driven Lyapunov-based MPC utilizes a linear time invariant (LTI) model cognizant of the fact that the training data, owing to the unstable nature of the equilibrium point, has to be obtained from closed-loop operation or experiments. Simulation results are first presented demonstrating closed-loop stability under the proposed data-driven Lyapunov-based MPC. The underlying data-driven model is then utilized as the basis to design an economic MPC. The economic improvements yielded by the proposed method are illustrated through simulations on a nonlinear chemical process system example. View Full-Text
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Kheradmandi, M.; Mhaskar, P. Data Driven Economic Model Predictive Control. Mathematics 2018, 6, 51.
Kheradmandi M, Mhaskar P. Data Driven Economic Model Predictive Control. Mathematics. 2018; 6(4):51.Chicago/Turabian Style
Kheradmandi, Masoud; Mhaskar, Prashant. 2018. "Data Driven Economic Model Predictive Control." Mathematics 6, no. 4: 51.
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