Abstract
Modeling of complex multivariable plants is always subject to uncertainty in their linear models. However, in the face of unknown or uncertain multivariable plants, the control configuration of the plant may endure fundamental changes, which will severely degrade the decentralized controller performance. The well-known input-output pairing techniques described in previous sections are unable to analyze the effect of uncertainty on input-output pairing and only recently, pairing methods are proposed for uncertain multivariable plants. The approaches to control configuration selection in the presence of uncertainty can be categorized in the following classes:
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