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The Distributed Command Governor Approach in a Nutshell

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Distributed Model Predictive Control Made Easy

Part of the book series: Intelligent Systems, Control and Automation: Science and Engineering ((ISCA,volume 69))

Abstract

The term Command Governor (CG) refers to a particular class of Model Predictive Control (MPC) strategies designed to manage the reference of a pre-compensated system in such a way that set-membership constraints on relevant system variables are not violated. More precisely, a CG unit is added to a primal compensated plant, which has supposedly been designed so as to exhibit stability and good tracking performance in the absence of constraints, and is in charge of modifying the prescribed reference signal whenever its direct application would lead to constraint violations. This chapter describes a distributed CG strategy for the supervision of a network of interconnected, possibly dynamically coupled, subsystems. Such an approach could be useful in situations where the use of a centralized coordination unit may be impracticable because requiring unrealistic or unavailable communication infrastructures.

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Authors and Affiliations

  1. Università degli Studi della Calabria, DEIS, Rende (CS), Calabria, Italy

    A. Casavola & F. Tedesco

  2. Universite Libre de Bruxelles, Bruxelles, Belgium

    E. Garone

Authors
  1. A. Casavola
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  2. E. Garone
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  3. F. Tedesco
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Corresponding author

Correspondence to A. Casavola .

Editor information

Editors and Affiliations

  1. Systems Engineering and Automation Dept, University of Seville, Seville, Spain

    José M. Maestre

  2. Dept of Marine & Transport Technology, Delft University of Technology, Delft, The Netherlands

    Rudy R. Negenborn

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© 2014 Springer Science+Business Media Dordrecht

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Casavola, A., Garone, E., Tedesco, F. (2014). The Distributed Command Governor Approach in a Nutshell. In: Maestre, J., Negenborn, R. (eds) Distributed Model Predictive Control Made Easy. Intelligent Systems, Control and Automation: Science and Engineering, vol 69. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-7006-5_16

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  • DOI: https://doi.org/10.1007/978-94-007-7006-5_16

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-7005-8

  • Online ISBN: 978-94-007-7006-5

  • eBook Packages: EngineeringEngineering (R0)

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