[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.
Disciplines :
Computer science
Author, co-author :
Dimitriadis, Grigorios ; Université de Liège - ULiège > 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
Language :
English
Title :
An Expert System for the Identification of Nonlinear Dynamical Systems
Publication date :
August 2006
Event name :
International Conference on Intelligent Computing, ICIC 2006
Event organizer :
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
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Bibliography
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Dimitriadis, G.: Experimental validation of the Constant Level method for identification of nonlinear multi degree of freedom systems. Journal of Sound and Vibration 258(5) (2000) 829-845
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