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Quantization Analysis and Design

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Model-Based Control of Networked Systems

Part of the book series: Systems & Control: Foundations & Applications ((SCFA))

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Abstract

In Chap. 8 stability conditions for MB-NCS under popular quantization schemes are derived. The objective is to reduce the number of bits needed to transmit feedback measurements to stabilize uncertain systems. When using periodic updates within the MB-NCS framework there are two main parameters that affect the amount of data that is being transmitted, the update interval that dictates how often it is necessary to update the state of the model and the quantization parameter that defines the number of quantization levels and, consequently, the number of bits needed to represent every measurement. When using event-based updates there are also two design parameters that affect stability, the quantization parameter and the threshold value that is used to generate events.

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Author information

Authors and Affiliations

  1. Infoscitex Corporation, Dayton, OH, USA

    Eloy Garcia

  2. Department of Electrical Engineering, University of Notre Dame, Notre Dame, IN, USA

    Panos J. Antsaklis

  3. EmNet, LLC, South Bend, IN, USA

    Luis A. Montestruque

Authors
  1. Eloy Garcia
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  2. Panos J. Antsaklis
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  3. Luis A. Montestruque
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© 2014 Springer International Publishing Switzerland

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Garcia, E., Antsaklis, P.J., Montestruque, L.A. (2014). Quantization Analysis and Design. In: Model-Based Control of Networked Systems. Systems & Control: Foundations & Applications. Birkhäuser, Cham. https://doi.org/10.1007/978-3-319-07803-8_8

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