本文提出了一种对象具有未建模动态时的间接式混合自适应极点配置方案。在此方案中利用规范化技术和带遗忘因子的协方差重置递推最小二乘法估计对象参数,并直接根据连续对象设计离散自适应控制律,保证了闭环系统的鲁棒稳定性。理论分析和数字仿真均表明此方案优于相类似的全连续和全离散方案。 In this paper, an indirect hybrid adaptive pole placement scheme with unmodeled dynamics is proposed. In this scheme, the standardization technique and the covariance resetting the least square method with forgetting factor are used to estimate the object parameters, and the discrete adaptive control law is designed directly according to the continuous objects to ensure the robust stability of the closed-loop system. Both theoretical analysis and numerical simulation show that this scheme is superior to the similar fully and fully discrete schemes.