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 :
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