Abstract : State estimation is a key engineering problem when addressing control or diagnosis issues for complex dynamical systems. The issue is still challenging when the latter systems must be modelled as hybrid discrete-continuous dynamics, which is true for many complex and safety-critical systems. In this paper, we investigate nonlinear hybrid state estimation in a bounded-error framework using reliable and robust methods. We first establish a testable condition for current mode location discernibility. Then we build our hybrid state estimator which relies on a prediction-correction approach. An illustrative example is presented.
https://hal.archives-ouvertes.fr/hal-01930370
Contributor : Louise Travé-Massuyès
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Submitted on : Wednesday, November 21, 2018 - 10:40:25 PM
Last modification on : Friday, January 17, 2020 - 3:00:34 PM
Long-term archiving on: Friday, February 22, 2019 - 4:36:36 PM
