stochastic multivariable systems 随机多变量系统
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。
The controller has the following advantages: 1) It can control stochastic multivariable systems with arbitrary time delay structure;
该控制器具有如下优点：1）可以控制具有任意传输延时结构的随机多变量系统；
The hierarchical identification principle is stated, and the hierarchical stochastic gradient (HSG) algorithm for the transfer function matrix (TFM) model for multivariable systems is presented.
阐述了递阶辨识原理，提出了传递函数阵模型参数的递阶随机梯度(hsg)辨识方法。
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