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Extended Dissipative Filter for Delayed T-S Fuzzy Network of Stochastic System with Packet Loss

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Title Extended Dissipative Filter for Delayed T-S Fuzzy Network of Stochastic System with Packet Loss
 
Creator Ullah, Rizwan
Li, Yina
Aslam, Muhammad Shamrooz
Sheng, Andong
 
Subject Adaptive event-triggered scheme
Delayed fuzzy filters
Extended dissipativity
IT–2 T-S fuzzy systems
 
Description 450-459
This research investigates a time-varying delay-based adaptive event-triggered dissipative filtering problem for the
interval type-2 (IT-2) Takagi-Sugeno (T-S) fuzzy networked stochastic system. The concept of extended dissipativity is used
to solve the 𝐻∞, 𝐿􀬶 􀵆 𝐿∞ and dissipative performances for (IT-2) T-S fuzzy stochastic systems in a unified manner. Data
packet failures and latency difficulties are taken into account while designing fuzzy filters. An adaptive event-triggered
mechanism is presented to efficiently control network resources and minimise excessive continuous monitoring while
assuring the system’s efficiency with extended dissipativity. A new adaptive event triggering scheme is proposed which
depends on the dynamic error rather than pre-determined constant threshold. A new fuzzy stochastic Lyapunov-Krasovskii
Functional (LKF) using fuzzy matrices with higher order integrals is built based on the Lyapunov stability principle for
mode-dependent filters. Solvability of such LKF leads to the formation of appropriate conditions in the form of linear matrix
inequalities, ensuring that the resulting error mechanism is stable. In order to highlight the utility and perfection of the
proposed technique, an example is presented.
 
Date 2023-04-03T09:52:51Z
2023-04-03T09:52:51Z
2023-04
 
Type Article
 
Identifier 0022-4456 (Print); 0975-1084 (Online)
http://nopr.niscpr.res.in/handle/123456789/61650
https://doi.org/10.56042/jsir.v82i04.71762
 
Language en
 
Publisher NIScPR-CSIR,India
 
Source JSIR Vol.82(04) [April 2023]