کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7108857 | 1460624 | 2018 | 14 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Detector-based Hâ results for discrete-time Markov jump linear systems with partial observations
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
کنترل و سیستم های مهندسی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
This paper features new results on Hâ analysis and control of linear systems with Markov jump disturbances, in a scenario of partial observations of the jump process. We consider situations in which the jump process can only be measured through a suitable detector. The approach here is general enough to encompass particular scenarios such as that of perfect information and cluster observations of the Markov jump process. The first main result derived in the paper is a Bounded Real Lemma, which provides a method for the Hâ analysis of Markov jump linear systems subject to detector-based partial information, via linear matrix inequalities (LMIs). Besides the interest in its own right, the Bounded Real Lemma makes it possible for us to derive new methods for the design of Hâ controllers in the considered scenario of partial observations. The proposed design is nonconservative in the scenario of complete information (thanks to a novel clusterization technique derived in this paper), as well as in the case of Bernoulli jumps. A numerical example, regarding the control of an unmanned aerial vehicle, illustrates the profits of our approach.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Automatica - Volume 91, May 2018, Pages 159-172
Journal: Automatica - Volume 91, May 2018, Pages 159-172
نویسندگان
Marcos G. Todorov, Marcelo D. Fragoso, Oswaldo Luiz do Valle Costa,