控制理论(社会学)
滤波器(信号处理)
数学
线性系统
凸优化
李雅普诺夫函数
线性矩阵不等式
过滤问题
理论(学习稳定性)
离散时间和连续时间
指数稳定性
噪音(视频)
集合(抽象数据类型)
基质(化学分析)
正多边形
滤波器设计
计算机科学
数学优化
非线性系统
控制(管理)
程序设计语言
材料科学
复合材料
计算机视觉
人工智能
数学分析
物理
机器学习
图像(数学)
几何学
统计
量子力学
作者
Lixian Zhang,Peng Shi,Changhong Wang,Huijun Gao
摘要
In this paper, the problem of robust H∞ filtering for switched linear discrete-time systems with polytopic uncertainties is investigated. Based on the mode-switching idea and parameter-dependent stability result, a robust switched linear filter is designed such that the corresponding filtering error system achieves robust asymptotic stability and guarantees a prescribed H∞ performance index for all admissible uncertainties. The existence condition of such filter is derived and formulated in terms of a set of linear matrix inequalities (LMIs) by the introduction of slack variables to eliminate the cross coupling of system matrices and Lyapunov matrices among different subsystems. The desired filter can be constructed by solving the corresponding convex optimization problem, which also provides an optimal H∞ noise-attenuation level bound for the resultant filtering error system. A numerical example is given to show the effectiveness and the potential of the proposed techniques. Copyright © 2006 John Wiley & Sons, Ltd.
科研通智能强力驱动
Strongly Powered by AbleSci AI