Abstract: A data-driven robust model predictive control (DRMPC) method is used in this brief to control an industrial thickener. To estimate the future states of the thickener, a discrete-time linear ...
Abstract: Fault detection and diagnosis (FDD) systems play a crucial role in maintaining the adequate execution of the monitored process. One of the widely used data-driven FDD methods is the ...
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