Paper Info
Title
Fault detection for linear discrete-time invariant systems with decoupling and optimization
Abstract
This paper discusses the robust fault detection design for the criteria such as ¿-/¿¿,¿2/¿¿ and¿¿/¿¿ in which Gd, the transfer function from disturbance to the measurement output, is a tall transfer matrix and Dd is not full column rank. It is shown that the faults in a subspace can be made arbitrarily sensitive, while the faults in the complementary subspace have bounded sensitivities that are maximized by our filter. We also discuss the decoupling and non-decoupling conditions, and their relations with image spaces of Gd and Gf (the transfer function from disturbance to the measurement output and the transfer function from fault to the measurement output). Furthermore, based on the optimal filter, a method is given to partially decouple the disturbance from the residual without impacting the rest of the fault sensitivities. An example is given to illustrate our results.
Year
DOI
Venue
2009
10.1109/CDC.2009.5399483
CDC
Keywords
Field
DocType
robust fault detection,decoupling condition,optimisation,invariant system,fault detection,robust control,nondecoupling condition,robustness,discrete-time system,optimization,linear system,discrete time systems,image spaces,decoupling,linear systems,transfer function,ℋ- index,hâ¿ control,optimal filter,transfer function matrices,sensitivity,indexes,discrete time,indexation,transfer matrix,noise,data structures,neodymium,data mining
Subspace topology,Linear system,Control theory,Fault detection and isolation,Computer science,Decoupling (cosmology),Transfer function,Discrete time and continuous time,Robust control,Bounded function
Conference
ISSN
ISBN
Citations 
0191-2216 E-ISBN : 978-1-4244-3872-3
978-1-4244-3872-3
5
PageRank 
References 
Authors
0.65
6
2
Name
Order
Citations
PageRank
Xiaobo Li150.98
Kemin Zhou237259.31