Nonlinear least square optimization through parameter estimation using the unscented kalman filter in matlab

The following Matlab project contains the source code and Matlab examples used for 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.

The source code and files included in this project are listed in the project files section, please make sure whether the listed source code meet your needs there.

Project Files: 

File NameSize
license.txt 1306
ukfopt.m 3246

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