کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1141303 1489437 2008 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Multi-criteria optimization in nonlinear predictive control
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی کنترل و سیستم های مهندسی
پیش نمایش صفحه اول مقاله
Multi-criteria optimization in nonlinear predictive control
چکیده انگلیسی

The multi-criteria predictive control of nonlinear dynamical systems based on Artificial Neural Networks (ANNs) and genetic algorithms (GAs) are considered. The (ANNs) are used to determine process models at each operating level; the control action is provided by minimizing a set of control objective which is function of the future prediction output and the future control actions in tacking in account constraints in input signal. An aggregative method based on the Non-dominated Sorting Genetic Algorithm (NSGA) is applied to solve the multi-criteria optimization problem. The results obtained with the proposed control scheme are compared in simulation to those obtained with the multi-model control approach.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Mathematics and Computers in Simulation - Volume 76, Issues 5–6, 7 January 2008, Pages 363–374
نویسندگان
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