Mean-square H∞ filtering for stochastic systems: Application to a 2DOF helicopter

被引：32

作者：

Basin, Michael ^{[1
]}

Elvira-Ceja, Santiago ^{[1
]}

Sanchez, Edgar N. ^{[1
]}

机构：

[1] Autonomous Univ Nuevo Leon, Dept Phys & Math Sci, Nuevo Leon, Mexico

来源：

SIGNAL PROCESSING | 2012年 / 92卷 / 03期

关键词：

Filtering; Wiener processes; Linear stochastic system; DELAY-DEPENDENT APPROACH; NONLINEAR-SYSTEMS; DISCRETE-SYSTEMS; LINEAR-SYSTEMS; DESIGN; H-2;

D O I：

10.1016/j.sigpro.2011.09.026

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper designs the central finite-dimensional H-infinity filter for linear stochastic systems with integral-quadratically bounded deterministic disturbances, that is suboptimal for a given threshold gamma with respect to a modified Bolza-Meyer quadratic criterion including the attenuation control term with the opposite sign. The original H-infinity filtering problem for a linear stochastic system is reduced to the corresponding mean-square H-2 filtering problem, using the technique proposed in Doyle (1989) [1]. In the example, the designed filter is applied to estimation of the pitch and yaw angles of a two degrees of freedom (2DOF) helicopter. (C) 2011 Elsevier B.V. All rights reserved.

引用

页码：801 / 806

页数：6

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