首页> 外文会议>Proceedings of the 15th IFAC World Congress: International Federation of Automatic Control >LOCAL LINEAR AND NON-LINEAR MULTI-WAY PARTIAL LEAST SQUARES BATCH MODELLING
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LOCAL LINEAR AND NON-LINEAR MULTI-WAY PARTIAL LEAST SQUARES BATCH MODELLING

机译:局部线性和非线性多路偏最小二乘批量建模

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An industrial fed-batch fermentation process forms the basis of a study that illustrates the development and use of local models for the construction of a performance monitoring scheme. Linear models are initially built for different operating regions within the batch using Dynamic Partial Least Squares (DPLS) to capture the underlying process dynamics. The local models are then pieced together and a global model developed based on the latent variable scores. A comparison with a global non-linear quadratic DPLS model is then made prior to using the latent variable scores from the local models to build a nominal process representation.
机译:工业补料分批发酵工艺构成了研究的基础,该研究说明了开发和使用局部模型来构建性能监控方案的过程。最初,使用动态偏最小二乘(DPLS)为批次中的不同操作区域构建线性模型,以捕获基本的过程动态。然后将局部模型拼凑在一起,并基于潜在变量分数开发一个全局模型。然后,在使用局部模型中的潜在变量得分构建名义过程表示之前,先与全局非线性二次DPLS模型进行比较。

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