L₂ − L∞ filtering for stochastic time-varying delay systems based on the Bessel–Legendre stochastic inequality
Date
2018
Authors
Gong, C.
Zhu, G.
Shi, P.
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Journal article
Citation
Signal Processing, 2018; 145:26-36
Statement of Responsibility
Cheng Gong, Guopu Zhu, Peng Shi
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Abstract
This paper deals with the L<inf>2</inf>−L<inf>∞</inf> filtering problem for stochastic systems with time-varying delay. First, based on the Bessel–Legendre inequality, a new stochastic integral inequality is established, which is called Bessel–Legendre stochastic inequality. Then, a new Lyapunov–Krasovskii functional is constructed for a stochastic time-varying delay system by utilizing Legende polynomials. With the help of the Bessel–Legendre stochastic inequality and the new Lyapunov–krasovskii functional, an L<inf>2</inf>−L<inf>∞</inf> filter is developed, which can guarantee the filtering error system to be asymptotically mean-square stable with a prescribed L<inf>2</inf>−L<inf>∞</inf> performance level. Finally, numerical examples are given to illustrate the effectiveness of the proposed filtering approach. The example results show that the proposed approach is less conservative than existing ones in designing the L<inf>2</inf>−L<inf>∞</inf> filter for the stochastic time-delay system.
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Available online 7 November 2017
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© 2017 Elsevier B.V. All rights reserved.