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Asynchronous Partially Mode-Dependent Filtering of Network-Based MSRSNSs With Quantized Measurement.
- Source :
- IEEE Transactions on Cybernetics; Aug2020, Vol. 50 Issue 8, p3731-3739, 9p
- Publication Year :
- 2020
-
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 $l_{2}-l_{\infty }$ performance index are derived. Finally, an economic example is adopted to substantiate the applicability of the developed theoretical results. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 21682267
- Volume :
- 50
- Issue :
- 8
- Database :
- Complementary Index
- Journal :
- IEEE Transactions on Cybernetics
- Publication Type :
- Academic Journal
- Accession number :
- 144615653
- Full Text :
- https://doi.org/10.1109/TCYB.2019.2939830