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• W2007276871 abstract "The design of plant tests to generate data for identification of dynamic models is critically important for development of model-based process control systems. Multivariable process identification tests in industry continue to rely on uncorrelated input signals, even though investigations have shown the benefits of other input designs which lead to correlated, higher-amplitude input signals. This is partly due to difficulties in formulating and solving computationally tractable problems for identification test design. In this work, related results are summarized and extended. Connections between different designs that target D-optimality or integral controllability are established. Related concepts are illustrated through simulation case studies." @default.
• W2007276871 created "2016-06-24" @default.
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• W2007276871 date "2014-01-01" @default.
• W2007276871 modified "2023-10-18" @default.
• W2007276871 title "Identification test design for multivariable model-based control: An industrial perspective" @default.
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• W2007276871 doi "https://doi.org/10.1016/j.conengprac.2013.06.018" @default.
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