Multiway kernel partial least squares (MKPLS) can be used for modeling and optimal control of batch processes.
采用多向核偏最小二乘(MKPLS)方法建立间歇过程的模型并进行操作条件的优化。
Based on fuzzy T-S model, a fuzzy method with self-learning capability for batch process modeling and optimal control is presented.
基于模糊t - S模型，提出一种具有自学习能力的模糊方法用于批过程建模和最优控制。
The presented method has been applied to the modeling and optimal control of a semi-continuous reactor, and simulation results show that this new method is effective and accurate.
所提方法用于一个半连续式反应器的建模和最优控制，仿真结果表明新方法是有效和准确的。
SVM has been applied to many fields such as pattern recognition, data mining, modeling and control of nonlinear system due to good generalization ability and globally optimal performance.
SVM由于其良好的泛化能力和全局最优性能，在模式识别、数据挖掘、非线性系统建模和控制等领域中展现出广泛的应用前景。
A modeling strategy of rolling optimal scheduling based on rough sets theory and feedback correction of general control is presented.
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。
The keys to adaptive control with optimization of machining operations are modeling of cutting process and selecting of real time optimal strategy.
机械加工最优自适应控制的关键在于自适应加工模型的建立和实时优化策略的制定。
Modeling and model management have been further studied with anthropoid and intellectualization, and will be used widely in real time optimal control of dynamic system.
本项研究有利于促进和深化建模与模型管理的类人化、智能化研究，在动态系统的实时优化控制领域具有较广阔的应用前景。
In the paper, adaptive suppressing vibration of the piezoelectricity elastic structure is studied, including synthesizing modeling, optimal control and evaluation and validation.
本文对自适应减振压电结构研究了自适应结构的综合建模、自适应结构的最优控制和自适应减振评估与验证。
The grey modeling and the idea of pre-control in grey prediction control theory can well remedy the defects of exact linearization and after-control in linear optimal control theory.
灰色预测控制理论中灰色建模和“超前控制”的思想较好地弥补了线性最优控制理论中精确线性化和“事后控制”的不足。
The advantage of NN modeling accuracy and the good control performance of the optimal predictive control are combined.
它综合了自适应预估控制在控制线性系统中的良好特性和神经网络在辨识、控制非线性系统中的高精确性。
The advantage of NN modeling accuracy and the good control performance of the optimal predictive control are combined.
它综合了自适应预估控制在控制线性系统中的良好特性和神经网络在辨识、控制非线性系统中的高精确性。
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