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Generalization of the Observer Principle for YOULA-Parametrized Regulators

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Progress in Systems Engineering

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 366))

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Abstract

An equivalent transfer function representation (TFR) is introduced to study the state-feedback/observer (SFO) topologies of control systems. This approach is used to explain why an observer can radically reduce even large model errors. Then the same principle is combined with Youla-parametrization (YP) introducing a new class of regulators

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References

  1. Åström K.J. (2002). Control System Design Lecture Notes, U of California, Santa Barbara.

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  2. Bányász, Cs. and L. Keviczky (2004). State-feedback solutions via transfer function representations, J. Systems Science, 30, 2, pp. 21-34.

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Author information

Authors and Affiliations

  1. Hungarian Academy of Sciences, Computer and Automation Research Institute and MTA-BME Control Engineering Research Group, H-1111, Budapest, Kende u 13-17, Hungary

    László Keviczky & Csilla Bányász

Authors
  1. László Keviczky
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  2. Csilla Bányász
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Corresponding author

Correspondence to László Keviczky .

Editor information

Editors and Affiliations

  1. University of Nevada at Las Vegas, Las Vegas, Nevada, USA

    Henry Selvaraj

  2. Department of Electrical Engineering, Idaho State University, Pocatello, Idaho, USA

    Dawid Zydek

  3. University of Nevada at Las Vegas, Las Vegas, Nevada, USA

    Grzegorz Chmaj

Additional information

This work was supported in part by the MTA-BME Control Engineering Research Group of the HAS, at the Budapest University of Technology and Economics and by the project TAMOP 4.2.2.A-11/1/KONV-2012-2012, at the Széchenyi University of Győr.

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© 2015 Springer International Publishing Switzerland

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Keviczky, L., Bányász, C. (2015). Generalization of the Observer Principle for YOULA-Parametrized Regulators. In: Selvaraj, H., Zydek, D., Chmaj, G. (eds) Progress in Systems Engineering. Advances in Intelligent Systems and Computing, vol 366. Springer, Cham. https://doi.org/10.1007/978-3-319-08422-0_6

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  • DOI: https://doi.org/10.1007/978-3-319-08422-0_6

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-08421-3

  • Online ISBN: 978-3-319-08422-0

  • eBook Packages: EngineeringEngineering (R0)

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