H∞Delay Filters Design for Linear Time-Varying Delay Systems in the Finite Frequency Domain: An Input-Output Approach

IF 8.7 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
El Aiss Hicham;Zoulagh Taha;El Haiek Badreddine;Karina A. Barbosa;El Hajjaji Ahmed
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引用次数: 0

Abstract

This work focuses on the $H_{\infty }$ filtering problem for linear time-varying delay systems. A new delay-dependent condition, equivalent to the $H_{\infty }$ inequality within a finite frequency range, has been established. A delay filter system is proposed to estimate the system’s output, aiming to minimize the impact of exogenous inputs on the outputs. The proposed methodology captures $H_{\infty }$ performance within a finite frequency range while maintaining input-output stability by employing a two-term approximation model and the Lyapunov–Krasovskii functional. The innovation lies in addressing the limitations of existing $H_{\infty }$ criteria, through a delay-dependent condition based on an input-output approach. The derived conditions are formulated as linear matrix inequalities. Numerical examples are provided to validate and illustrate the effectiveness of the proposed method, demonstrating its superiority over existing approaches in the literature.
有限频域线性时变延迟系统的H∞延迟滤波器设计:一种输入-输出方法
本文主要研究线性时变时滞系统的$H_{\infty }$滤波问题。建立了一个新的时延相关条件,等价于有限频率范围内的$H_{\infty }$不等式。提出了一种延迟滤波系统来估计系统的输出,目的是最小化外源输入对输出的影响。所提出的方法通过采用两项近似模型和Lyapunov-Krasovskii函数,在保持输入-输出稳定性的同时,在有限频率范围内捕获$H_{\infty }$性能。创新在于通过基于输入-输出方法的延迟相关条件解决现有$H_{\infty }$标准的局限性。导出的条件被表示为线性矩阵不等式。数值算例验证和说明了所提方法的有效性,证明了其优于现有文献方法的优越性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEEE Transactions on Systems Man Cybernetics-Systems
IEEE Transactions on Systems Man Cybernetics-Systems AUTOMATION & CONTROL SYSTEMS-COMPUTER SCIENCE, CYBERNETICS
CiteScore
18.50
自引率
11.50%
发文量
812
审稿时长
6 months
期刊介绍: The IEEE Transactions on Systems, Man, and Cybernetics: Systems encompasses the fields of systems engineering, covering issue formulation, analysis, and modeling throughout the systems engineering lifecycle phases. It addresses decision-making, issue interpretation, systems management, processes, and various methods such as optimization, modeling, and simulation in the development and deployment of large systems.
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