Paper Info
Title
Dynamic state estimation in distributed aircraft electric control systems via adaptive submodularity
Abstract
We consider the problem of estimating the discrete state of an aircraft electric system under a distributed control architecture through active sensing. The main idea is to use a set of controllable switches to reconfigure the system in order to gather more information about the unknown state. By adaptively making a sequence of reconfiguration decisions with uncertain outcome, then correlating measurements and prior information to make the next decision, we aim to reduce the uncertainty. A greedy strategy is developed that maximizes the one-step expected uncertainty reduction. By exploiting recent results on adaptive submodularity, we give theoretical guarantees on the worst-case performance of the greedy strategy. We apply the proposed method in a fault detection scenario where the discrete state captures possible faults in various circuit components. In addition, simple abstraction rules are proposed to alleviate state space explosion and to scale up the strategy. Finally, the efficiency of the proposed method is demonstrated empirically on different circuits.
Year
DOI
Venue
2013
10.1109/CDC.2013.6760755
Decision and Control
Keywords
Field
DocType
aircraft control,aircraft power systems,distributed control,greedy algorithms,adaptive submodularity,aircraft electric system,distributed aircraft electric control systems,distributed control architecture,dynamic state estimation,fault detection,greedy strategy,uncertain outcome
Mathematical optimization,Abstraction,Control theory,Computer science,Fault detection and isolation,Greedy algorithm,Control system,Electronic circuit,State space,Uncertainty reduction theory,Control reconfiguration
Conference
ISSN
ISBN
Citations 
0743-1546
978-1-4673-5714-2
4
PageRank 
References 
Authors
0.43
12
4
Name
Order
Citations
PageRank
Quentin Maillet140.43
Huan Xu212510.44
Necmiye Ozay339041.51
Richard M. Murray4123221223.70