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• W2110251289 abstract "This work focuses on state feedback model predictive control of particulate processes subject to asynchronous measurements. A population balance model of a typical continuous crystallizer is taken as an application example. Three controllers, a standard model predictive controller and two recently proposed Lyapunov-based model predictive controllers, are applied to stabilize the crystallizer at an open-loop unstable steady-state in the presence of asynchronous measurements. The stability and robustness properties of the closed-loop system under the three controllers are compared extensively under two different assumptions on how the measurements from the crystallizer are obtained." @default.
• W2110251289 created "2016-06-24" @default.
• W2110251289 creator A5002367171 @default.
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• W2110251289 date "2008-06-01" @default.
• W2110251289 modified "2023-10-16" @default.
• W2110251289 title "Lyapunov-based model predictive control of particulate processes subject to asynchronous measurements" @default.
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• W2110251289 doi "https://doi.org/10.1109/acc.2008.4586824" @default.
• W2110251289 hasPublicationYear "2008" @default.
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