Abstract

This paper presents a new method for the identification of linear continuous-time systems. Its main advantage is that estimated parameters converge to true system parameters even when the input is not a sufficiently rich signal. Estimated parameters are computed from a system of 2n equations with 2n unknown for a system of order n. A systematic method for obtaining this system of 2n equations is proposed. Algebraic and iterative resolutions are presented The new identification method is evaluated in simulation. It is compared to the gradient method. Results show that estimated parameters converge much faster with the proposed method.

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