Support-vector-machine-based reduced-order model for limit cycle oscillation prediction of nonlinear aeroelastic system

DOI10.1155/2012/152123zbMath1264.74042OpenAlexW2081324588WikidataQ58912502 ScholiaQ58912502MaRDI QIDQ1954481

Yanyan Li

Publication date: 11 June 2013

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2012/152123

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Fluid-solid interactions (including aero- and hydro-elasticity, porosity, etc.) (74F10) Optimization problems in solid mechanics (74P99)

Cites Work

• Unnamed Item
• Identification of MIMO Hammerstein models using least squares support vector machines
• LIMIT CYCLE OSCILLATION PREDICTION AND CONTROL DESIGN METHOD FOR AEROELASTIC SYSTEM BASED ON NEW NONLINEAR REDUCED ORDER MODEL
• Kernel based partially linear models and nonlinear identification
• Evaluation of geometric conservation law using pressure‐based fluid solver and moving grid technique

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