On the basis of generalized minimum variance control principles, an expanded control rule is induced.
以广义最小方差控制原理为基础导出了扩展控制规律。
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。
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。
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