A nonlinear least squares estimation procedure without initial parameter guesses

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Abstract-- This paper introduces a convex formulation approach for the initialization of parameter estimation problems (PEP). The proposed method exploits the parameter-affine feature exhibited by some dynamic systems. The method attempts to solve a related convex problem and uses its result as the initial guess for the solution of the original nonconvex PEP. The proposed approach is illustrated through two nonconvex parameter estimation study cases; the harmonic oscillator and the Lorenz attractor.

Julian Bonilla Alarcon, Moritz Diehl, Bart De Moor

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CDC 2008 | Control Systems | Convex Formulation Approach | Parameter Estimation | Parameter Estimation Problems |

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Added	07 Dec 2010
Updated	07 Dec 2010
Type	Conference
Year	2008
Where	CDC
Authors	Julian Bonilla Alarcon, Moritz Diehl, Bart De Moor, Jan F. M. Van Impe

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A nonlinear least squares estimation procedure without initial parameter guesses

CDC 2008 | Control Systems | Convex Formulation Approach | Parameter Estimation | Parameter Estimation Problems |

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