کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
10226039 1701241 2018 25 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Adaptive learning tracking for uncertain systems with partial structure information and varying trial lengths
ترجمه فارسی عنوان
ردیابی یادگیری سازگار برای سیستم های نامشخص با اطلاعات ساختاری جزئی و طول دوره های مختلف
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
چکیده انگلیسی
This paper considers the adaptive iterative learning control (ILC) for continuous-time parametric nonlinear systems with partial structure information under iteration-varying trial length environments. In particular, two types of partial structure information are taken into account. The first type is that the parametric system uncertainty can be separated as a combination of time-invariant and time-varying part. The second type is that the parametric system uncertainty mainly contains time-invariant part, whereas the designed algorithm is expected to deal with certain unknown time-varying uncertainties. A mixing-type adaptive learning scheme and a hybrid-type differential-difference learning scheme are proposed for the two types of partial structure information cases, respectively. The convergence analysis under iteration-varying trial length environments is strictly derived based on a novel composite energy function. Illustrative simulations are provided to verify the effectiveness of the proposed schemes.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of the Franklin Institute - Volume 355, Issue 15, October 2018, Pages 7027-7055
نویسندگان
, , ,