The objective of the current study is to design and implement a proper algorithm based on NN generalized predictive control (GPC).
当前研究的目标是设计并实现一个基于神经网络广义预测控制的合适算法。
This paper uses GPC (Generalized Predictive Control) algorithm to control a one-order inertia plant with time delay.
本文应用GPC（广义预测控制）算法实现对一阶惯性加纯滞后对象的控制。
Local dynamic linearization is applied to the system at each sampling point. Then control action is gained using generalized predictive control (GPC) based on the linearized model.
然后在每一个采样点对系统进行局部动态线性化，根据得到的系统线性化模型对系统采取广义预测控制（ GPC）方法得到当前的控制动作。
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