针对一类典型的参数时变的实际工业过程，基于模型参考自适应控制(MRAC)理论，提出了一种新的自适应控制方案。
In view of a kind of typical time-varying parameters of the actual industrial process, based on the model reference adaptive control (MRAC) theory, presents a new adaptive control plan.
针对液压弯辊系统数学模型的非线性、时变特性，本文设计了一种模糊神经网络模型参考自适应控制器。
In view of the time-variable and nonlinear characteristics of mathematical model of hydraulic bending roll system, this thesis design a new nonlinear adaptive controler based on fuzzy neural network.
本文提出了一种应用模型参考自适应原理的变参数PID调节器，适用于单输入——单输出的一阶、二阶控制系统。
This paper proposes a PID regulator of changeable parameters applying model reference adaptive principle. It is suitable for one-order, two-order control systems of single input and single output.
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