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。
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