Paper Info
Title
Applications oriented input design for closed-loop system identification: a graph-theory approach
Abstract
A new approach to experimental design for identification of closed-loop models is presented. The method considers the design of an experiment by minimizing experimental cost, subject to probabilistic bounds on the input and output signals, and quality constraints on the identified model. The input and output bounds are common in many industrial processes due to physical limitations of actuators. The aforementioned constraints make the problem non-convex. By assuming that the experiment is a realization of a stationary process with finite memory and finite alphabet, we use results from graph-theory to relax the problem. The key feature of this approach is that the problem becomes convex even for non-linear feedback systems. A numerical example shows that the proposed technique is an attractive alternative for closed-loop system identification.
Year
DOI
Venue
2014
10.1109/CDC.2014.7040031
Decision and Control
Keywords
Field
DocType
closed loop systems,control system synthesis,graph theory,identification,nonlinear control systems,probability,applications oriented input design,closed-loop model,closed-loop system identification,experimental design,finite alphabet,finite memory,graph-theory approach,industrial process,input signal,nonlinear feedback system,output signal,probabilistic bound,quality constraint
Graph theory,Mathematical optimization,Control theory,Computer science,Stationary process,Regular polygon,Input/output,Input design,Probabilistic logic,System identification,Actuator
Conference
ISSN
ISBN
Citations 
0743-1546
978-1-4799-7746-8
0
PageRank 
References 
Authors
0.34
7
5
Name
Order
Citations
PageRank
Afrooz Ebadat1344.28
Patricio E. Valenzuela274.00
Cristian R. Rojas325243.97
Håkan Hjalmarsson41254175.16
Bo Wahlberg521040.68