Relative entropy rate based design for linear hybrid system models
Techakesari, Onvaree & Ford, Jason J. (2011) Relative entropy rate based design for linear hybrid system models. In Australian Control Conference, 10-11 November 2011, University of Melbourne, Melbourne, VIC.
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Hybrid system representations have been applied to many challenging modeling situations. In these hybrid system representations, a mixture of continuous and discrete states is used to capture the dominating behavioural features of a nonlinear, possible uncertain, model under approximation. Unfortunately, the problem of how to best design a suitable hybrid system model has not yet been fully addressed. This paper proposes a new joint state measurement relative entropy rate based approach for this design purpose. Design examples and simulation studies are presented which highlight the benefits of our proposed design approaches.
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|Item Type:||Conference Paper|
|Keywords:||Hybrid system model, Model selection, Approximate filtering, Relative entropy rate, Multiple-model filter|
|Subjects:||Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > AEROSPACE ENGINEERING (090100) > Aerospace Engineering not elsewhere classified (090199)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Signal Processing (090609)
|Divisions:||Current > Research Centres > Australian Research Centre for Aerospace Automation
Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Schools > School of Engineering Systems
|Copyright Owner:||Copyright 2011 [please consult the authors]|
|Deposited On:||18 Aug 2011 05:19|
|Last Modified:||23 Jun 2015 07:29|
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Relative entropy rate based design for linear hybrid system models. (deposited 11 Aug 2011 01:05)
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