 Eventually, the results in low-order models are used for initializing a gradient descent algorithm , which is introduced in solving the entrainment problem of the full models .
<meaning-changed>  Eventually, the results in low-order models are used for initializing a gradient descent algorithm , which is introduced in solving the entrainment problem of the full models .
 Eventually, the results in low-order models are used for initializing a gradient descent algorithm rely heavily on the initial guesses, we use the optimal control of the PRC and the simplified model to initialize the gradient descent algorithm .