Algebraic Methods for Nonlinear Systems: Parameter Identification and State Estimation

Algebraic methods are presented for solving nonlinear least-squares type problems that arise in the parameter identification of nonlinear systems. The tracking of the induction motor rotor time constant is solved in detail. Also, an approach to estimating state variables using algebraic relationships (in contrast to dynamic observers) is discussed in the context of speed estimation for induction motors.

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