Coding for control and connections with information theory

Serdar Yüksel, Tamer Başar

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

This chapter introduces policies and actions regarding the selection of quantizers and controllers in networked control. It exhibits the important differences between the real-time communication formulation and the traditional Shannon theoretic setup which allows for large blocks of data (with unbounded block-length) to be encoded and transmitted. This distinction is highlighted in the context of distortion-constrained quantizer design and the rate-distortion theory. The chapter also establishes fundamental lower bounds on information rates needed for various forms of stochastic stabilization.

Original languageEnglish (US)
Title of host publicationSystems and Control
Subtitle of host publicationFoundations and Applications
PublisherBirkhauser
Pages155-177
Number of pages23
Edition9781461470847
DOIs
StatePublished - Jan 1 2013

Publication series

NameSystems and Control: Foundations and Applications
Number9781461470847
ISSN (Print)2324-9749
ISSN (Electronic)2324-9757

Keywords

  • Differential entropy
  • Gaussian source
  • Network control system
  • Noisy channel
  • Stochastic kernel

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Computer Science Applications
  • Control and Optimization
  • Computational Mathematics

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  • Cite this

    Yüksel, S., & Başar, T. (2013). Coding for control and connections with information theory. In Systems and Control: Foundations and Applications (9781461470847 ed., pp. 155-177). (Systems and Control: Foundations and Applications; No. 9781461470847). Birkhauser. https://doi.org/10.1007/978-1-4614-7085-4_5