A SOS-based robust fault detection method for polynomial nonlinear systems

被引：0
|
作者：
Casavola, Alessandro [1 ]
Famularo, Domenico [2 ]
Franze, Giuseppe [1 ]
机构：
[1] Univ Calabria, DEIS, Via P Bucci,Cubo 42 C, I-87036 Arcavacata Di Rende, CS, Italy
[2] Univ Degli Studi Mediterranea Reggio Calabria, DIMET, unical, I-89990 Calabria, Italy
来源：
2010 AMERICAN CONTROL CONFERENCE | 2010年
关键词：
SQUARES; SUM; OPTIMIZATION; RELAXATIONS; GENERATION; DIAGNOSIS; OBSERVERS; PROGRAMS;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A novel nonlinear Luenberger-like filter design method is discussed for fault detection of nonlinear polynomial systems subject to unknown inputs. The disturbance rejection/fault sensitivity conditions are characterized by exploiting Algebraic Geometry methods. By means of the Positivstellensatz Theorem, a Sum of Squares (SOS) formulation of the design problem is obtained and an adaptive threshold is proposed to reduce the effect of false alarms. The effectiveness of the filter is illustrated via a numerical example taken from the literature.
引用
收藏
页码：7028 / 7033
页数：6
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