Fault estimation and stabilization for Markovian jump systems with partial actuator degradation

This paper investigates the fault-tolerant control (FTC) problem of partial actuator degradation for a class of Markovian jump systems subject to unmeasurable states. In this study, a new adaptive fault observer is designed to solve the problem of fault estimation, which can estimate the states and...

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Bibliographic Details
Published in2016 35th Chinese Control Conference (CCC) pp. 6751 - 6755
Main Authors Huang, Xianlin, Chen, Liheng, Li, Xing, Guo, Kaihua
Format Conference Proceeding Journal Article
LanguageEnglish
Published TCCT 01.07.2016
Subjects
actuator failure
Actuators
adaptive fault observer
Controllers
Degradation
fault compensation
Fault tolerance
Fault tolerant systems
Faults
Gain
Markov processes
Markovian jump system
Mathematical models
Observers
Symmetric matrices
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Summary:This paper investigates the fault-tolerant control (FTC) problem of partial actuator degradation for a class of Markovian jump systems subject to unmeasurable states. In this study, a new adaptive fault observer is designed to solve the problem of fault estimation, which can estimate the states and level of failures simultaneously. Then, an observer-based controller is developed to stabilize the closed-loop system. Sufficient conditions for the existence of the observer gain and controller gain are obtained by solving a set of linear matrix inequalities. Finally, a numerical example is presented to illustrate the effectiveness of the proposed method.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
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SourceType-Conference Papers & Proceedings-2
ISSN:2161-2927
1934-1768
DOI:10.1109/ChiCC.2016.7554420