This paper presents a novel and predictive fuzzy model algorithmic control(MAC) scheme which is an integration of fuzzy control and predictive control.
本文将模糊模型算法控制应用于永磁同步电动机位置伺服系统中。
The study of theory analysis and computer simulation shows that dynamics adjust characteristic of IMAC is better than that of MAC (Model Algorithmic Control).
理论分析及计算机仿真研究表明，IMAC比模型算法控制(MAC)具有更好的动态调节特性。
This paper presents cascade Model Algorithmic control based on impulse response representation of the process. Some Properties of the control algorithm are given.
本文提出基于对象的脉冲响应的串级模拟算法控制，给出算法的若干性质。
In this paper, a new type of generalized predictive control based on ARMAX model is proposed. The internal relations between the control strategy and model Algorithmic control (MAC) are revealed.
本文中提出了基于ARMAX模型的新型广义预测控制，揭示了其控制策略与模型算法控制(MAC)之间的内在联系。
So it is possible that more accurate model of controlled object and better effect of adaptive model algorithmic control are obtained if the length of impulse response sequence changes accordingly.
这样将能得到被控对象更准确的数学模型，有望改进自适应模型算法控制的控制效果。
So it is possible that more accurate model of controlled object and better effect of adaptive model algorithmic control are obtained if the length of impulse response sequence changes accordingly.
这样将能得到被控对象更准确的数学模型，有望改进自适应模型算法控制的控制效果。
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