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Observation and Identification via HOSM Observers

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Book cover Sliding Mode Control and Observation

Part of the book series: Control Engineering ((CONTRENGIN))

Abstract

Control systems normally perform under uncertainties/disturbances and with measurement signals corrupted by noise. For systems with reliable models and noisy measurements, a filtration approach (Kalman filters, for example) is efficient. However, as shown in Chap. 3, sliding mode observers based on first-order sliding modes are effective in the presence of uncertainties/disturbances. Nevertheless, as discussed in that chapter, they are only applicable when the relative degree of the outputs with respect to the uncertainties/disturbances is one, and differentiation of noisy outputs signals is not needed.

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Notes

  1. 1.

    For details see [173].

  2. 2.

    See, for example, [173].

  3. 3.

    See, for example, [112].

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Shtessel, Y., Edwards, C., Fridman, L., Levant, A. (2014). Observation and Identification via HOSM Observers. In: Sliding Mode Control and Observation. Control Engineering. Birkhäuser, New York, NY. https://doi.org/10.1007/978-0-8176-4893-0_7

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  • DOI: https://doi.org/10.1007/978-0-8176-4893-0_7

  • Publisher Name: Birkhäuser, New York, NY

  • Print ISBN: 978-0-8176-4892-3

  • Online ISBN: 978-0-8176-4893-0

  • eBook Packages: EngineeringEngineering (R0)

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