For stochastic multivariable systems, this paper, based on both the optimal and the pole assignment strategies, presents a novel self-tuning controller with weighting factors adjusted on-line.
基于最优和极点配置方法，本文对多变量随机系统提出一种在线调节加权因子的极点配置自校正控制器。
A simplified on-line multivariable stochastic system state model parameters estimation algorithm is developed.
本文提出了一种简化的多变量随机系统状态模型参数在线辨识方法。
Test results indicate that by considering stochastic loads the optimal reconfiguration scheme of minimal expected value of line loss is not always the same as that of minimal line loss.
算例表明，网损期望值最小的重构方案不一定是负荷期望值计算的网损最小的重构方案。
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