Sparse identification of nonlinear dynamical systems via reweighted <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e1573" altimg="si188.svg"><mml:msub><mml:mrow><mml:mi>ℓ</mml:mi></mml:mrow><mml:mrow><mml:mn>1</mml:mn></mml:mrow></mml:msub></mml:math>-regularized least squares
Alexandre Cortiella, K. C. Park, Alireza Doostan
Topics & Concepts
Compressed sensingSolverRobustness (evolution)Nonlinear systemAlgorithmRegularization (linguistics)Computer scienceIteratively reweighted least squaresRobust statisticsMathematicsApplied mathematicsNon-linear least squaresMathematical optimizationArtificial intelligenceEstimation theoryChemistryOutlierPhysicsGeneQuantum mechanicsBiochemistryModel Reduction and Neural NetworksProbabilistic and Robust Engineering DesignControl Systems and Identification