Identifying the Structure of Non-Linear Dynamic Systems Using Multiobjective Genetic Programming
Rodriguez-Vazquez, K., Fonesca, C.M. and Fleming, P.J.
(1999)
Identifying the Structure of Non-Linear Dynamic Systems Using Multiobjective Genetic Programming.
Research Report.
ACSE Research Report 745
.
Department of Automatic Control and Systems Engineering
Abstract
A method for identifying the structure of non-linear polynomial dynamic models is presented. This approach uses an evolutionary algorithm, Genetic Programming, in a multiobjective fashion to generate global models which describe the dynamic behaviour of the non-linear system under investigation. The introduction of the validation stage of system identification into the multiobjective tool is also explored, in order to direct the identification process to a set of global models of the system.
Metadata
Item Type:
Monograph
Authors/Creators:
Rodriguez-Vazquez, K.
Fonesca, C.M.
Fleming, P.J.
Copyright, Publisher and Additional Information:
The Department of Automatic Control and Systems Engineering research reports offer a forum for the research output of the academic staff and research students of the Department at the University of Sheffield. Papers are reviewed for quality and presentation by a departmental editor. However, the contents and opinions expressed remain the responsibility of the authors. Some papers in the series may have been subsequently published elsewhere and you are advised to cite the later published version in these instances.
Keywords:
multiobjective optimisation, gas turbine engine, non-linear system identification, genetic programming
CORE (COnnecting REpositories)
CORE (COnnecting REpositories)