DocumentCode
3532708
Title
Identifiability and excitation of polynomial systems
Author
Gevers, Michel ; Bazanella, Alexandre S. ; Coutinho, Daniel F. ; Dasgupta, S.
Author_Institution
ICTEAM, Louvain Univ., Louvain la Neuve, Belgium
fYear
2013
fDate
10-13 Dec. 2013
Firstpage
4278
Lastpage
4283
Abstract
This paper establishes identifiability and informativity conditions for a class of deterministic linearly parametrized polynomial systems. The class considered is polynomial in the states and in the inputs. The standard definitions of identifiability and informativity for linear systems are expanded to account for the situation where the identification is achieved either through the application of informative inputs or via the response to informative initial conditions. We provide necessary and sufficient conditions for identifiability from the initial state, respectively from the input, as well as necessary and sufficient conditions on the initial state, respectively on the input, to produce an informative experiment.
Keywords
linear systems; parameter estimation; polynomials; deterministic linearly parametrized polynomial systems; excitation; identifiability; informativity conditions; Data models; Mathematical model; Matrices; Polynomials; Stochastic processes; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
Conference_Location
Firenze
ISSN
0743-1546
Print_ISBN
978-1-4673-5714-2
Type
conf
DOI
10.1109/CDC.2013.6760547
Filename
6760547
Link To Document