Neural Network Control of Unknown Nonlinear Systems with Efficient Transient Performance
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part I
IEEE Transactions on Neural Networks
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We present a method to estimate a positive semidefinite matrix by linear least squares, and we apply this method to the estimation of local compliance matrices during deformable object modeling. Estimation of physical quantities from measurements has to consider noise due to measurement and modeling inaccuracy. Enforcing constraints during estimation can guarantee physically plausible results even under difficult measurement conditions.