...；预测； 经济增长；滚动优化；归一化 [gap=943]Key words: neuralNetworks; forecast; economic growth; rolling optimization; normalization ...
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...滚动优化；变采样周期；部分转移概率未知[gap=871]Key words: networked control systems; model predictive control; receding horizon optimization; variable-period sampling; partly unknown transition probabilities..
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DSDMC contains four factors: predictive model, moving optimization, feedback correction and leading signal correction.
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Combining Neural Networks and Predictive Control, Rolling Optimization Theory, this paper has designed a intelligent control system for trajectory tracking of flexible manipulator.
最后,将神经网络与预测控制、滚动优化理论相结合,设计出用于柔性机械臂轨迹跟踪的神经网络动态优化调整的智能控制系统。
参考来源 - 柔性机械臂路径优化及控制4. Because of least parameters in the model, Generalized Predictive Control has light computational burden in online receding horizon optimization.
4.广义预测控制由于采用最小化参数模型，因此，在线滚动优化计算量小。
参考来源 - 预测控制算法及其应用研究The complexity of multi-goal and constrains in industrial process control are analyzed, therefore the moving horizon optimization strategy based on genetic algorithm is presented.
2．分析了实际工业过程的复杂性，对多目标和约束问题进行了定性的归纳和研究，在此基础上提出了一种基于遗传算法的滚动优化策略。
参考来源 - 基于Hammerstein/Wiener模型的非线性预测控制及其仿真研究·2,447,543篇论文数据，部分数据来源于NoteExpress
提出一种基于粗集理论和广义控制的滚动优化调度建模策略。
A modeling strategy of rolling optimal scheduling based on rough sets theory and feedback correction of general control is presented.
实现了预测控制的三个环节：多步预测、滚动优化、反馈校正。
This method implements the three laches of GPC: multistep prediction, recursive optimization, feedback emendation .
针对NARMA模型，提出了预测控制滚动优化的两级协调法。
A two level coordination algorithm is presented for moving horizon optimization of predictive control based on NARMA model.
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