Nithya, V (2022) Finite-Time Distributive Non-Fragile Filter Design for Complex Systems with Multiple Delays, Missing Measurements and Dynamic Quantization. Circuits, Systems, and Signal Processing.
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Abstract
This paper deals with the problem of finite-time dissipative-based distributive nonfragile filter design for a class of discrete-time complex systems subject to randomly
occurring multiple delays, dynamic quantization and missing measurements. The main
intention of this work is to propose a distributive non-fragile filter that ensures the
stochastic finite-time boundedness together with prescribed dissipative performance
in the presence of multiple delays. To characterize the random nature of delays, stochastic variables are introduced which satisfy the Bernoulli binary distribution. Moreover,
the two factors such as missing measurements and dynamic quantization are implemented in the measurement signal. By employing S-procedure and constructing proper
Lyapunov–Krasovskii functional, a set of linear matrix inequality (LMI)-based sufficient conditions that guarantee the stochastic finite-time boundedness with dissipative
performance of the augmented filtering error system is obtained. Finally, the efficiency of the proposed distributive non-fragile filter design is proved by presenting
three numerical examples including the continuous stirred tank reactor (CSTR) and a
quarter-car suspension model.
Item Type: | Article |
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Uncontrolled Keywords: | Complex systems · Distributive non-fragile filter design · Missing measurements · Randomly occurring multiple delays · Stochastic finite-time boundedness |
Divisions: | PSG College of Arts and Science > Department of Mathematics |
Depositing User: | Mr Team Mosys |
Date Deposited: | 15 Mar 2023 06:52 |
Last Modified: | 15 Mar 2023 06:52 |
URI: | http://ir.psgcas.ac.in/id/eprint/1777 |