
A Novel Wirtinger-Based Inequality to H ∞ Filtering for Discrete-Time Systems with Time-Varying Delay
Author(s) -
Kaifan Ma,
Zhangang Wang,
Fengdong Shi,
Liankun Sun
Publication year - 2019
Publication title -
mathematical problems in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.262
H-Index - 62
eISSN - 1026-7077
pISSN - 1024-123X
DOI - 10.1155/2019/5401734
Subject(s) - algorithm , computer science , artificial intelligence , mathematics , machine learning
This article is committed toH ∞filtering for linear discrete-time systems with time-varying delay. The novelty of the paper comes from the consideration of the new Wirtinger-based inequality with double accumulation terms and the idea of delay-partitioning, which guarantees a better asymptotic stability and is less conservative than the celebrated free-weighting matrix or Jensen’s inequality methods. In combination with the improved Wirtinger-based inequality to handle the modified Lyapunov-Krasovskii (L-K) functionals, a new delay-dependent bound real lemma (BRL) is gained. In the light of the derivedH ∞performance analysis results, theH ∞filter will be designed in response to linear matrix inequality (LMI). The validness of the proposed methods will be expressed via some numerical examples by the comparison of existing results.