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Relative entropy rate based design for linear hybrid system models

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2 Author(s)
Onvaree Techakesari ; School of Engineering Systems, Queensland University of Technology, Brisbane 4001, Australia ; Jason J. Ford

Hybrid system representations have been applied to many challenging modelling 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.

Published in:

Australian Control Conference (AUCC), 2011

Date of Conference:

10-11 Nov. 2011