Identification for robust multivariable control: The design of experiments

DOI10.1016/0005-1098(94)90094-9zbMath0816.93024OpenAlexW1596385548MaRDI QIDQ1337701

John F. MacGregor, Ching-Wei Koung

Publication date: 8 November 1994

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0005-1098(94)90094-9

zbMATH Keywords

performanceidentificationstabilitydesign of experimentssingular value decompositionsclosed-loopinput perturbationsrobust model-based controlstructured model mismatch

Mathematics Subject Classification ID

Related Items (5)

Cross-directional control of sheet and film processes ⋮ Linear adaptive control for nonstationary uncertain systems under bounded noise ⋮ Effects of feedback on active fault detection ⋮ Control-relevant experiment design for multivariable systems described by expansions in orthonormal bases ⋮ Multivariable system identification for integral controllability

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• Robust control of ill-conditioned plants: high-purity distillation
• Multivariable feedback design: Concepts for a classical/modern synthesis
• Feedback and optimal sensitivity: Model reference transformations, multiplicative seminorms, and approximate inverses
• Control oriented system identification: a worst-case/deterministic approach in H/sub infinity /

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