Reference : An Expert System for the Identification of Nonlinear Dynamical Systems
Scientific congresses and symposiums : Paper published in a book
Engineering, computing & technology : Computer science
http://hdl.handle.net/2268/23134
An Expert System for the Identification of Nonlinear Dynamical Systems
English
Dimitriadis, Grigorios mailto [Université de Liège - ULg > Département d'aérospatiale et mécanique > Intéractions fluide structure et aérodynamique expérimentale >]
Vio, Gareth Arthur [University of Manchester > School of Mechanical, Aerospace and Civil Engineering > > >]
Shi, Dongfeng [University of Manchester > School of Mechanical, Aerospace and Civil Engineering > > >]
Aug-2006
Intelligent Computing
Huang, De-Shuang
Li, Kang
Irwin, George William
Springer-Verlag
Lecture Notes in Computer Science 4113
1263-1268
Yes
No
International
978-3-540-37271-4
Berlin Heidelberg
Germany
International Conference on Intelligent Computing, ICIC 2006
du 16 août 2006 au 19 août 2006
Yunnan University, China
University of Science and Technology of China
Queen's University Belfast, United Kingdom
IEEE Computational Intelligence Society
International Neural Network Society
Institute of Intelligent Machines
Kunming
China
[en] Expert System ; Nonlinear Dynamics
[en] This paper describes an Expert System that can detect and quantify the nonlinearity present in a given dynamical system and, subsequently, determine and apply the most suitable nonlinear system identification method. The internal workings, algorithms and decision making processes of the Expert System are discussed. For demonstration purposes the Expert System is applied to a nonlinear experimental test-rig. The results show that the Expert System is an automatic tool that will detect nonlinearity, choose the best class of model for the system under investigation and perform optimal parameter estimation, so that the resulting identified models are parsimonious and accurate.
Researchers ; Professionals
http://hdl.handle.net/2268/23134
10.1007/11816157_158
http://www.springerlink.com/content/670t610808977552/?p=5ed4cdf9a3d9494fb93f8744fb61a295&pi=157

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