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An adaptive nonlinear parameter estimator with ability for sorting local minima

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2 Author(s)
Bambill, H.R. ; Dept. de Ingeneria Electrica, Univ. Nacional del Sur, Bahia Blanca, Argentina ; Jordan, M.A.

This paper presents an approach for nonlinear parameter estimation which is based on differential geometric properties of a nonconvex objective function. The parameter search mechanism is sustained on a polynomial approximation of patches of the cost functional. This approach is able to capture moving local minima and force the trajectory to the global minimum in a relative broad region. A selected example shows the features of the proposed approach

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Circuits and Systems, 1999. 42nd Midwest Symposium on  (Volume:2 )

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