کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6854317 1437411 2018 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
How to cope with unmeasurable premise variables in Takagi-Sugeno observer design: Dynamic extension approach
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
How to cope with unmeasurable premise variables in Takagi-Sugeno observer design: Dynamic extension approach
چکیده انگلیسی
In this paper, a new strategy to cope with unmeasurable premise variables in observer design for Takagi-Sugeno (TS) models is proposed. The guiding principles are the immersion techniques and auxiliary dynamics generation, allowing to immerge a given TS system with unmeasured state dependent weighting functions into a larger TS system with weighting functions depending only on measured variables. This result relaxes the strong conditions used in the design of observers for TS systems with unmeasurable premise variables. An example is provided to illustrate the performances of the proposed approach.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Engineering Applications of Artificial Intelligence - Volume 67, January 2018, Pages 430-435
نویسندگان
, , , , ,