NDLI: State estimation for MIMO hybrid dynamical model

Content Provider	IEEE Xplore Digital Library
Author	Rajaoarisoa, L.H. Balmat, J.F. M'Sirdi, N.K.
Copyright Year	2011
Description	Author affiliation: Research Institute on Embedded Systems, 76801 Saint Etienne du Rouvray, France (Rajaoarisoa, L.H.) \|\| Laboratory of Information and Systems Sciences, 83957 la Garde Cedex, France (Balmat, J.F.) \|\| Laboratory of Information and Systems Sciences, 13397 Marseille Cedex 20, France (M'Sirdi, N.K.)
Abstract	It is well-known that the parameter estimation is difficult in many real-world application where continuous nonlinear dynamics interact with discrete-event ones. In this paper, we address the problem of state estimation in hybrid systems exhibited by a mix of continuous time dynamics, discrete-time and discrete-event dynamics. We also demonstrate that a set of parameters is identifiable if the operating modes are detectable and observable. An application will illustrate the results proposed.
Starting Page	5455
Ending Page	5460
File Size	447359
Page Count	6
File Format	PDF
ISBN	9781612848006
ISSN	07431546
e-ISBN	9781612848013
e-ISBN	9781612847993
DOI	10.1109/CDC.2011.6161065
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Observability Switches Parameter estimation Mathematical model Input variables State estimation persistently exciting MIMO Hybrid system state estimation observability identifiability detectability
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Modeling and Simulation

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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