Parameter estimation of continuous model based on Marquardt algorithm

This paper presents a new parameter estimation algorithm of continuous models. Marquardt algorithm is a system identification method according to the grads of the continuous linear state equation. And it has advantage of high precision in parameter estimation. This paper gives a Marquardt algorithm first in parameter estimation, and then performs stochastic simulations to confirm the validity of the proposed method. At last, the algorithm is used to identificate the dynamic behavior performance model of the striated muscle of a rabbit.