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• W2885647005 abstract "This work focuses on the design of stochastic Lyapunov-based economic model predictive control (SLEMPC) systems for a broad class of stochastic nonlinear systems with input constraints. Under the assumption of stabilizability of the origin of the stochastic nonlinear system via a stochastic Lyapunov-based control law, an economic model predictive controller is proposed that utilizes suitable constraints based on the stochastic Lyapunov-based controller to ensure economic optimality, recursive feasibility and stability in probability in a well-characterized region of the state-space. A chemical process example is used to illustrate the application of the approach and demonstrate its economic benefits with respect to an existing robust EMPC scheme that treats the disturbances in a deterministic, bounded manner." @default.
• W2885647005 created "2018-08-22" @default.
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• W2885647005 date "2018-06-01" @default.
• W2885647005 modified "2023-10-02" @default.
• W2885647005 title "Lyapunov-based Economic Model Predictive Control of Stochastic Nonlinear Systems" @default.
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• W2885647005 doi "https://doi.org/10.23919/acc.2018.8431189" @default.
• W2885647005 hasPublicationYear "2018" @default.
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