A Statistical Methodology of Designing Controllers for Minimum Sensitivity of Parameter Variations

DOI10.1115/1.3152662zbMath0647.93018OpenAlexW2087875788MaRDI QIDQ3792557

D. M. Auslander, Kenneth C. Q. Tsai

Publication date: 1988

Published in: Journal of Dynamic Systems, Measurement, and Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1115/1.3152662

zbMATH Keywords

designparameter variationMonte Carlo techniquesystem performancestatistical methodologyinsensitivesystems with uncertain parameters

Mathematics Subject Classification ID

Monte Carlo methods (65C05) Sensitivity (robustness) (93B35) Nonlinear systems in control theory (93C10) Sampled-data control/observation systems (93C57) Synthesis problems (93B50)

Related Items (1)

Probabilistic evaluation of control system robustness†

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