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Modeling, Design, and Simulation of Systems with UncertaintiesTwo Approaches for Guaranteed State Estimation of Nonlinear Continuous-Time Models

Modeling, Design, and Simulation of Systems with Uncertainties: Two Approaches for Guaranteed... [This paper deals with the estimation of the state vector of a nonlinear continuous-time state-space model, such as those frequently encountered in the context of knowledge-based modeling. Unknown and possibly time-varying parameters may be included in an extended state vector to deal with the simultaneous estimation of state and parameters. Observations depending on the (possibly extended) state are assumed to take place at discrete measurement times. Given bounds on the size of the additive measurement errors, guaranteed estimation should then provide bounds on the possible values of the state at any given time. Two recently developed approaches are presented and their performance is compared on a simple test case.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Modeling, Design, and Simulation of Systems with UncertaintiesTwo Approaches for Guaranteed State Estimation of Nonlinear Continuous-Time Models

Part of the Mathematical Engineering Book Series (volume 3)
Editors: Rauh, Andreas; Auer, Ekaterina

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References (32)

Publisher
Springer Berlin Heidelberg
Copyright
© Springer-Verlag Berlin Heidelberg 2011
ISBN
978-3-642-15955-8
Pages
199 –220
DOI
10.1007/978-3-642-15956-5_10
Publisher site
See Chapter on Publisher Site

Abstract

[This paper deals with the estimation of the state vector of a nonlinear continuous-time state-space model, such as those frequently encountered in the context of knowledge-based modeling. Unknown and possibly time-varying parameters may be included in an extended state vector to deal with the simultaneous estimation of state and parameters. Observations depending on the (possibly extended) state are assumed to take place at discrete measurement times. Given bounds on the size of the additive measurement errors, guaranteed estimation should then provide bounds on the possible values of the state at any given time. Two recently developed approaches are presented and their performance is compared on a simple test case.]

Published: May 13, 2011

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