کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
412906 679688 2010 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Training of neural models for predictive control
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Training of neural models for predictive control
چکیده انگلیسی

This paper emphasises the link between neural model training and its role in model predictive control (MPC) algorithms. This role is of fundamental importance since in MPC at each sampling instant a model is used on-line to calculate predictions of future behaviour of the process and an optimal future control policy. Taking into account this particular function of models in MPC, a training algorithm of neural dynamic models is derived. An example identification problem of a methanol–water distillation process is discussed. The prediction accuracy of models obtained using the described algorithm and the classical backpropagation scheme is compared, which yields one-step ahead predictors.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 73, Issues 7–9, March 2010, Pages 1332–1343
نویسندگان
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