کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
381006 1437457 2013 20 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A novel adaptive fuzzy predictive control for hybrid systems with mixed inputs
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
A novel adaptive fuzzy predictive control for hybrid systems with mixed inputs
چکیده انگلیسی

This paper proposes a new adaptive nonlinear model predictive control (NMPC) methodology for a class of hybrid systems with mixed inputs. For this purpose, an online fuzzy identification approach is presented to recursively estimate an evolving Takagi–Sugeno (eTS) model for the hybrid systems based on a potential clustering scheme. A receding horizon adaptive NMPC is then devised on the basis of the online identified eTS fuzzy model. The nonlinear MPC optimization problem is solved by a genetic algorithm (GA). Diverse sets of test scenarios have been conducted to comparatively demonstrate the robust performance of the proposed adaptive NMPC methodology on the challenging start-up operation of a hybrid continuous stirred tank reactor (CSTR) benchmark problem.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Engineering Applications of Artificial Intelligence - Volume 26, Issues 5–6, May–June 2013, Pages 1512–1531
نویسندگان
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