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• W2059727889 startingPage "1438" @default.
• W2059727889 abstract "Understanding and modeling disturbances play a critical part in designing effective advanced model-based control solutions. Existing linear, stationary disturbance models are oftentimes limiting in the face of time-varying characteristics typically witnessed in process industries. These include intermittent drifts, abrupt changes, temporary oscillations, outliers and the likes. This work proposes a Hidden Markov Model-based framework to deal with such situations that exhibit discrete, modal behavior. The usefulness of the proposed disturbance framework – from modeling to ensuring the integral action under a wide variety of scenarios – is demonstrated through several examples." @default.
• W2059727889 created "2016-06-24" @default.
• W2059727889 creator A5060709175 @default.
• W2059727889 creator A5070891335 @default.
• W2059727889 date "2009-10-01" @default.
• W2059727889 modified "2023-10-18" @default.
• W2059727889 title "Realistic disturbance modeling using Hidden Markov Models: Applications in model-based process control" @default.
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• W2059727889 doi "https://doi.org/10.1016/j.jprocont.2009.04.014" @default.
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