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
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
收藏
页码:1987 / 1993
页数:7
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