NEW ENERGY-TO-PEAK FIR FILTER DESIGN FOR SYSTEMS WITH DISTURBANCE: A CONVEX OPTIMIZATION APPROACH

被引：0

作者：

Ahn, Choon Ki ^{[1
]}

Kim, Pyung Soo ^{[2
]}

机构：

[1] Korea Univ, Sch Elect Engn, Seoul 136701, South Korea

[2] Korea Polytech Univ, Dept Elect Engn, Siheung Si 429793, Gyeonggi Do, South Korea

来源：

INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL | 2013年 / 9卷 / 05期

关键词：

Energy-to-peak filter; Finite impulse response (FIR); Quasi-deadbeat condition; State estimation; Linear systems;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper proposes a new energy-to-peak filter (EPF) with a finite impulse response (FIR) structure for linear systems with disturbance. The filter is referred to as an energy-to-peak FIR filter (EPFF). The energy-to-peak performance criterion is minimized in filters that show linearity, FIR structure, and quasi-deadbeat property. The EPFF can be obtained by solving a convex optimization problem represented by linear matrix inequalities (LMIs). A numerical example is given to illustrate the validity of the proposed EPFF.

引用

页码：1987 / 1993

页数：7

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