Cheng J, Park JH, Cao J, Qi W. Asynchronous Partially Mode-Dependent Filtering of Network-Based MSRSNSs With Quantized Measurement.
IEEE TRANSACTIONS ON CYBERNETICS 2020;
50:3731-3739. [PMID:
31562115 DOI:
10.1109/tcyb.2019.2939830]
[Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
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 l2-l∞ performance index are derived. Finally, an economic example is adopted to substantiate the applicability of the developed theoretical results.
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