自动化学报2017，Vol.43Issue(1)：72-82,11.DOI:10.16383/j.aas.2017.c150389
延迟不确定马尔科夫跳变系统的执行器和传感器故障同时估计方法
Simultaneous Estimation of Actuator and Sensor Faults for Uncertain Time-delayed Markovian Jump Systems
摘要
Abstract
In this paper, a method of simultaneous estimation of actuator and sensor faults based on a class of uncertain time-delayed Markovian jump systems is presented. The transition probability matrix (TPM) is assumed to be uncertain. By extending the sensor faults as an auxiliary state, the system is converted into a generalized descriptor system with Markovian jump parameters. Based on the transformed system, a Markovian jump observer is designed to provide the estimates of the states and sensor faults. Meanwhile, a set of adaptive laws are given to adjust the actuator faults. Sufficient conditions of existence of the observer are given in terms of a linear matrix inequality optimization problem. Finally, two numerical examples are simulated to validate the effectiveness of the proposed approach.关键词
马尔科夫跳变系统/马尔科夫跳变观测器/执行器故障估计/传感器故障估计/延迟环节Key words
Markovian jump system/Markovian jump system observer/actuator fault estimation/sensor fault estima-tion/time-delayed component引用本文复制引用
李晓航,朱芳来..延迟不确定马尔科夫跳变系统的执行器和传感器故障同时估计方法[J].自动化学报,2017,43(1):72-82,11.基金项目
国家自然科学基金(61573256)资助Supported by National Natural Science Foundation of China (61573256) （61573256）
