State space stability analysis of unconstrained decentralized model predictive control systems

Vaccarini, M. and Longhi, S. and Katebi, M.R. (2006) State space stability analysis of unconstrained decentralized model predictive control systems. In: International Control Conference 2006, 2006-08-30 - 2006-09-01. (https://doi.org/10.1109/ACC.2006.1655347)

Abstract

This paper analyzes stability properties of a decentralized MPC strategy. Assuming that control agents can exchange information with each other only once for every sampling interval, stability conditions on model and controller matrices are derived for the unconstrained case. Stability properties are analyzed either from a local or a global point of view and a comparison between the decentralized and the centralized control is introduced.

ORCID iDs

Katebi, M.R. ORCID: https://orcid.org/0000-0003-2729-0688

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• Item metadata

  Item type:	Conference or Workshop Item(Paper)
  ID code:	37797
  Dates:	Date Event 2006 Published
  Subjects:	Technology > Electrical engineering. Electronics Nuclear engineering
  Department:	Faculty of Engineering > Electronic and Electrical Engineering
  Depositing user:	Pure Administrator
  Date deposited:	22 Feb 2012 12:00
  Last modified:	11 Nov 2024 16:21
  URI:	https://strathprints.strath.ac.uk/id/eprint/37797