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Nonlinear least square optimization through parameter estimation using the Unscented Kalman Filter


The Kalman filter can be interpreted as a feedback approach to minimize the least equare error. It can be applied to solve a nonlinear least square optimization problem. This function provides a way using the unscented Kalman filter to solve...

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