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Hybrid system identification using a structural approach and its model based control: an experimental validation

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Title Hybrid system identification using a structural approach and its model based control: an experimental validation
 
Creator NANDOLA, NARESH N
BHARTIYA, SHARAD
 
Subject electric grounding
hybrid computers
hybrid systems
model predictive control
predictive control systems
 
Description For implementation of various model based techniques such as in control and fault diagnosis, data-driven identification is key for enabling cheap and rapid development of models of hybrid systems of industrial interest. In the present work, a novel identification method is proposed for a class of hybrid systems which are linear and separable in the discrete variables (that is discrete states and discrete inputs). The method takes cognizance of the fact that the separable structure of the hybrid system constrains the evolution of system dynamics. In particular, the proposed method identifies models corresponding to a certain number of modes, far fewer than the total possible modes of the system. It then generates the models for the remaining modes without any further requirement for input–output data by exploiting the separable structure of the hybrid system. We experimentally validate the method by identifying the model for a three tank benchmark hybrid system followed by model predictive control using the identified model.
 
Publisher Elsevier
 
Date 2009-10-06T04:04:48Z
2011-11-25T15:43:12Z
2011-12-26T13:04:46Z
2011-12-27T05:50:45Z
2009-10-06T04:04:48Z
2011-11-25T15:43:12Z
2011-12-26T13:04:46Z
2011-12-27T05:50:45Z
2009
 
Type Article
 
Identifier Nonlinear Analysis: Hybrid Systems 3(2), 87-100
1751-570X
http://dx.doi.org/10.1016/j.nahs.2008.10.007
http://hdl.handle.net/10054/1696
http://dspace.library.iitb.ac.in/xmlui/handle/10054/1696
 
Language en