Least squares parameter estimation algorithms for non-linear systems

摘要

Least squares parameter estimation algorithms for nonlinear systems are investigated based on a nonlinear difference equation model. A modified extended least squares, an instrumental variable and a new suboptimal least squares algorithm are considered. The problems of input sensitivity, structure detection, model validation and input sensitivity, structure detection, model validation and input signal selection are also discussed in the nonlinear context.