Paper Info
Title
A Framework For Optimal Actuator/Sensor Selection In A Control System
Abstract
When dealing with large-scale systems, manual selection of a subset of components (sensors/actuators), or equivalently identification of a favourable structure for the controller, that guarantees a certain closed-loop performance, is not very feasible. This paper is dedicated to the problem of concurrent optimal selection of actuators/sensors which can equivalently be considered as the structure identification for the controller. In the context of a multi-channel dynamic output feedback controller synthesis, we formulate and analyse a framework in which we incorporate two extra terms for penalising the number of actuators and sensors into the variational formulations of controller synthesis problems in order to induce a favourable controller structure. We then develop an explicit scheme as well as an iterative process for the purpose of dealing with the multi-objective problem of controller structure and control law co-design. It is also stressed that the immediate application of the proposed approach lies within the fault accommodation stage of a fault tolerant control scheme. By two numerical examples, we demonstrate the remarkable performance of the proposed approach.
Year
DOI
Venue
2019
10.1080/00207179.2017.1350755
INTERNATIONAL JOURNAL OF CONTROL
Keywords
Field
DocType
Simultaneous actuator/sensor selection, regularisation, row/column-wise sparsification, linear matrix inequality, dynamic output feedback
Mathematical optimization,Control theory,Feedback controller,Iterative and incremental development,Control theory,Control engineering,Control system,Sensor selection,Open-loop controller,Mathematics,Linear matrix inequality,Actuator
Journal
Volume
Issue
ISSN
92
2
0020-7179
Citations 
PageRank 
References 
2
0.38
16
Authors
4
Name
Order
Citations
PageRank
Ahmadreza Argha11510.56
Steven W. Su221045.84
Andrey V. Savkin31431178.60
Branko G. Celler450281.99