Paper Info
Title
Asynchronous Partially Mode-Dependent Filtering of Network-Based MSRSNSs With Quantized Measurement.
Abstract
This article addresses the issue of asynchronous partially mode-dependent filtering for networked Markov switching repeated scalar nonlinear systems (MSRSNSs) subject to quantized measurements (QMs). Especially, a novel partially mode-dependent filter (PMDF) is constructed, where the signal transmission of a filter mode occurred randomly and is modeled by a Bernoulli distributed sequence. The designed PMDF is different from state mode, which is governed by an asynchronous switching rule. By utilizing a diagonally dominant-type Lyapunov functional (DDTLF), sufficient conditions ensure that the existence of the PMDF and the <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$l_{2}-l_{\infty }$ </tex-math></inline-formula> performance index are derived. Finally, an economic example is adopted to substantiate the applicability of the developed theoretical results.
Year
DOI
Venue
2020
10.1109/TCYB.2019.2939830
IEEE Transactions on Cybernetics
Keywords
DocType
Volume
Switches,Markov processes,Quantization (signal),Economics,Symmetric matrices,Switched mode power supplies
Journal
50
Issue
ISSN
Citations 
8
2168-2267
4
PageRank 
References 
Authors
0.37
15
4
Name
Order
Citations
PageRank
Jun Cheng153643.22
Ju H. Park25878330.37
Jinde Cao311399733.03
Wenhai Qi413510.51