کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
689011 889585 2014 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Survey on stochastic iterative learning control
ترجمه فارسی عنوان
بررسی کنترل یادگیری تکراری تصادفی
کلمات کلیدی
کنترل یادگیری عاطفی، سیگنال های تصادفی، سیستم های خطی، سیستم های غیر خطی،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی تکنولوژی و شیمی فرآیندی
چکیده انگلیسی
Iterative learning control (ILC) is suitable for systems that are able to repeatedly complete several tasks over a fixed time interval. Since it was first proposed, ILC has been further developed through extensive efforts. However, there are few related results on systems with stochastic signals, where by stochastic signal we mean one that is described by a random variable. Stochastic iterative learning control (SILC) is defined as ILC for systems that contain stochastic signals including system noises, measurement noises, random packet losses, etc. This manuscript surveys the current state of the art in SILC from the perspective of key techniques, which are divided into three parts: SILC for linear stochastic systems, SILC for nonlinear stochastic systems, and systems with other stochastic signals. In addition, three promising directions are also provided, namely stochastic ILC for point-to-point control, stochastic ILC for iteration-varying reference tracking, and decentralized/distributed coordinated stochastic ILC, respectively.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Process Control - Volume 24, Issue 12, December 2014, Pages 64-77
نویسندگان
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