Showing 1–20 of 47 results
/ Date/ Name
Sep 8, 2019Distributed flexibility in inertial swimmersJan 7, 2014State-space model identification and feedback control of unsteady aerodynamic forcesDec 23, 2014Identifying Finite-Time Coherent Sets from Limited Quantities of Lagrangian DataApr 24, 2017Scaling the propulsive performance of heaving and pitching foilsDec 14, 2015Uncertainty Quantification for Cargo Hold FiresJul 19, 2018Clarifying the relationship between efficiency and resonance for flexible inertial swimmersNov 24, 2019An Efficient Approximation of the Kalman Filter for Multiple Systems Coupled via Low-Dimensional Stochastic InputNov 29, 2013On Dynamic Mode Decomposition: Theory and ApplicationsNov 13, 2014Uncertainty Quantification for Airfoil Icing using Polynomial Chaos ExpansionsNov 9, 2014A Kernel-Based Approach to Data-Driven Koopman Spectral AnalysisJul 7, 2017Online dynamic mode decomposition for time-varying systemsJul 10, 2009Reduced order models for control of fluids using the Eigensystem Realization AlgorithmJul 28, 2022Model Reduction for Nonlinear Systems by Balanced Truncation of State and Gradient CovarianceFeb 7, 2009Feedback control of unstable steady states of flow past a flat plate using reduced-order estimatorsJan 27, 2014Toward compressed DMD: spectral analysis of fluid flows using sub-Nyquist-rate PIV dataAug 19, 2014A Data-Driven Approximation of the Koopman Operator: Extending Dynamic Mode DecompositionFeb 26, 2020Optimal control with learning on the fly: a toy problemOct 2, 2017Evaluating the accuracy of the dynamic mode decompositionNov 20, 2014Data Fusion via Intrinsic Dynamic Variables: An Application of Data-Driven Koopman Spectral AnalysisJun 25, 2025Resolvent4py: a parallel Python package for analysis, model reduction and control of large-scale linear systems