Wiener's Polynomial Chaos for the Analysis and Control of Nonlinear Dynamical Systems with Probabilistic Uncertainties [Historical Perspectives]

DOI10.1109/MCS.2013.2270410zbMath1395.93509OpenAlexW2062845216MaRDI QIDQ5375851

Kwang-Ki K. Kim, Richard D. Braatz, Dongying Erin Shen, Zoltán K. Nagy

Publication date: 14 September 2018

Published in: IEEE Control Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/mcs.2013.2270410

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Signal detection and filtering (aspects of stochastic processes) (60G35) Stochastic systems in control theory (general) (93E03) Computational methods for stochastic equations (aspects of stochastic analysis) (60H35)

Related Items (3)

Polynomial chaos-based \(\mathcal{H}_2\) output-feedback control of systems with probabilistic parametric uncertainties ⋮ Region of attraction analysis of nonlinear stochastic systems using polynomial chaos expansion ⋮ Convergence Analysis and Adaptive Order Selection for the Polynomial Chaos Approach to Direct Optimal Control under Uncertainties

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