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Relative entropy rate based design for linear hybrid system models

By Onvaree Techakesari and Jason J. Ford


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

Topics: 090199 Aerospace Engineering not elsewhere classified, 090609 Signal Processing, Hybrid system model, Model selection, Approximate filtering, Relative entropy rate, Multiple-model filter
Year: 2011
OAI identifier: oai:eprints.qut.edu.au:44030

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