控制理论(社会学)
故障检测与隔离
观察员(物理)
趋同(经济学)
计算机科学
线性系统
线性矩阵不等式
集合(抽象数据类型)
常量(计算机编程)
数学
数学优化
人工智能
执行机构
数学分析
物理
控制(管理)
量子力学
经济
程序设计语言
经济增长
作者
Neila Bedioui,Radhia Houimli,Mongi Besbes
出处
期刊:Мехатроника, автоматизация, управление
[New Technologies Publishing House]
日期:2019-09-05
卷期号:20 (9): 515-523
被引量:2
标识
DOI:10.17587/mau.20.515-523
摘要
A new approach is presented for sensor fault detection reconstruction and state estimation. The system considered is linear polytopic parameter-vary ing (LPV) system. The main idea is the design of a novel robust adaptive observer based on and polyquadratic formulation with a new set of relaxation. Sufficient conditions are given by a set of Linear Matrix Inequalities (LMI) in order to guarantee the stability of the system and the asymptotic convergence of the fault error. A simulation example has been studied to illustrate the proposed methods by detecting constant and variable sensor fault.
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