The role of signal processing methods in the robust design of predictive control

DOI10.1016/0005-1098(94)00152-9zbMath0822.93032OpenAlexW2019631615MaRDI QIDQ1894426

Pranob Banerjee, Sirish. L. Shah

Publication date: 1995

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0005-1098(94)00152-9

zbMATH Keywords

small-gain theoremmodel-plant uncertaintyrobust predictive controller designsignal processing methods

Mathematics Subject Classification ID

Sensitivity (robustness) (93B35) System identification (93B30) Design techniques (robust design, computer-aided design, etc.) (93B51) Frequency-response methods in control theory (93C80) Linear systems in control theory (93C05) Pole and zero placement problems (93B55) Robust stability (93D09) Linear-quadratic optimal control problems (49N10) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (1)

The principle of robustness in generalized predictive control

Cites Work

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• Set-membership identification of systems with parametric and nonparametric uncertainty
• Estimation of transfer functions: asymptotic theory and a bound of model uncertainty

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