By introduction of a more simple pole placement algorithm of SISO system and MIMO system, makes the involved method in this paper more perfect.
通过不同算法的比较，介绍了一种更简洁地计算SISO系统的MIMO系统的极点配置方法，以使相对通用极点配置算法进一步完善。
The algorithm realizes the pole placement of closed loop systems and overcomes the difficulty of the weighting polynomials choice of the quadratic cost function in general adaptive control.
算法的一个特点是能够配置闭环极点，克服了一般自适应控制二次型性能指标中加权阵选择的困难。
A self-tuning robust explicit algorithm with normalization and dead-zone is presented combining generalized minimum variance with pole-placement strategy , with the robustness discussed.
本文将广义最小方差策略与极点配置策略相结合并采用正则化及相对死区技术提出了一种鲁棒自校正显式算法，并给出了鲁棒性分析，物理实验结果和仿真结果。
In regular bundle, stability and detectability conditions, necessary condition and algorithm for the Multi - input optimal pole placement is given.
在系统是正则束及能稳和能检测的前提下，给出了多输入多输出系统最优极点配置满足的条件及算法。
In regular bundle, stability and detectability conditions, necessary condition and algorithm for the Multi - input optimal pole placement is given.
在系统是正则束及能稳和能检测的前提下，给出了多输入多输出系统最优极点配置满足的条件及算法。
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