Observability and identifiability of jump linear systems

We analyze the observability of the continuous and discrete states of a class of linear hybrid systems. We derive rank conditions that the structural parameters of the model must satisfy in order for filtering and smoothing algorithms to operate correctly. We also study the identifiability of the mo...

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Published inProceedings of the 41st IEEE Conference on Decision and Control, 2002 Vol. 4; pp. 3614 - 3619 vol.4
Main Authors Vidal, R., Chiuso, A., Soatto, S.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2002
Subjects
Aerospace control
Aircraft
Control system synthesis
Differential equations
Filtering algorithms
Linear systems
Neurons
Observability
Smoothing methods
Structural engineering
Online AccessGet full text
ISBN0780375165
9780780375161
ISSN0191-2216
DOI10.1109/CDC.2002.1184923

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Abstract We analyze the observability of the continuous and discrete states of a class of linear hybrid systems. We derive rank conditions that the structural parameters of the model must satisfy in order for filtering and smoothing algorithms to operate correctly. We also study the identifiability of the model parameters by characterizing the set of models that produce the same output measurements. Finally, when the data are generated by a model in the class, we give conditions under which the true model can be identified.
AbstractList We analyze the observability of the continuous and discrete states of a class of linear hybrid systems. We derive rank conditions that the structural parameters of the model must satisfy in order for filtering and smoothing algorithms to operate correctly. We also study the identifiability of the model parameters by characterizing the set of models that produce the same output measurements. Finally, when the data are generated by a model in the class, we give conditions under which the true model can be identified.
Author Vidal, R.
Chiuso, A.
Soatto, S.
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Snippet We analyze the observability of the continuous and discrete states of a class of linear hybrid systems. We derive rank conditions that the structural...
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StartPage 3614
SubjectTerms Aerospace control
Aircraft
Control system synthesis
Differential equations
Filtering algorithms
Linear systems
Neurons
Observability
Smoothing methods
Structural engineering
Title Observability and identifiability of jump linear systems
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