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讨论了在极点配置的约束下,使[P]极小化所涉及的收敛速度和指标的适用范围问题.通过无约束最速下降法与共轭梯度法相结合进行寻优,提高了收敛速度并扩大了指标的适用范围.实例表明,寻优效果较好.
This paper discusses the problem of the convergence rate and the range of the index involved in the minimization of [P] under the constraints of the pole placement. By combining the unconstrained steepest descent method with the conjugate gradient method, the convergence speed is improved and the convergence rate is increased The application range of the index shows that the optimization is better.