The reheating furnace process computer system goals are mainly dynamic production process control, process operation records tracking, and production process optimization with metallurgy model.

再加热炉过程控制计算机系统的主要目的是实现生产动态过程控制，跟踪操作记录，同时通过冶金模型进行生产过程优化。

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Using dynamic recurrent neural networks as identification and controller, the minimum error control of robot tracking the idea locus is implemented.

采用动态对角回归神经网络作为辨识器和控制器，实现了机器人轨迹跟踪的最小误差控制。

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For stochastic dynamic processes, the paper presents an adaptive tracking algorithm, which improves and generalizes the self-tuning control algorithm.

本文将自校正控制算法加以改进和推广，提出了一种跟踪随机动态过程的自适应算法。

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