Using data of daily load prediction, theory analysis and calculate of reactive optimal control have been tried.

运用系统日负荷预测的数据，尝试性地进行无功优化控制的理论分析，并进行了实例计算。

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Overall production index is achieved using intelligent optimal setting model, fault diagnosis model, intelligent prediction model and loop control.

用智能优化设定模型、炉况诊断模型、智能预报模型及回路控制，实现了优化综合生产指标的目标。

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In this paper, a robust self-tuning control algorithm for PID controller with pole assignment optimal prediction suitable for the process with unkaow or time-varying delay is proposed.

本文提出一种适合于时变时滞系统的极点配置最优预报自校正PID鲁棒控制算法。

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