کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4977679 | 1451930 | 2017 | 32 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Robust Hâ filtering for Markov jump systems with mode-dependent quantized output and partly unknown transition probabilities
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
پردازش سیگنال
پیش نمایش صفحه اول مقاله

چکیده انگلیسی
This paper addresses the problem of robust Hâ filtering design for uncertain Markov jump systems (MJSs) with mode-dependent quantized output and partly unknown transition probabilities. The data transmission and exchange are completed over a digital communication channel such that the system outputs need to be quantized before transmission. Attention is mainly concentrated on tackling the parameter uncertainty, unknown transition probabilities and output quantization. The parameter uncertainty considered in this paper is assumed to be norm-bounded, and the exact information of transition probabilities matrix is partly unavailable. The quantization error of the output is transformed into a bounded nonlinearity via a model transformation. A mode-dependent filter is designed to ensure that the filtering error system is stochastically stable and has an Hâ noise attenuation performance index. Finally, simulation results are provided to illustrate the validity of the proposed results.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Signal Processing - Volume 137, August 2017, Pages 328-338
Journal: Signal Processing - Volume 137, August 2017, Pages 328-338
نویسندگان
Deyin Yao, Renquan Lu, Yong Xu, Lijie Wang,