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• W1564200035 abstract "In this paper an online identification and control strategy is developed for chemical processes. The procedure used for system identification is canonical variate analysis, a method that operates on input-output data sequences batch-wise to provide an optimized state-space model; the resulting models are then used in a multivariable predictive control procedure to yield excellent overall closed-loop results. The resulting adaptive control procedure is demonstrated to have excellent properties for control of a continuous stirred tank reactor with inverse dynamics, delays and nonlinearities." @default.
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• W1564200035 date "2005-08-25" @default.
• W1564200035 modified "2023-09-26" @default.
• W1564200035 title "On-line multivariable identification and control of chemical processes using canonical variate analysis" @default.
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• W1564200035 doi "https://doi.org/10.1109/acc.1994.752351" @default.
• W1564200035 hasPublicationYear "2005" @default.
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