State space stability analysis of unconstrained decentralized model predictive control systems

M. Vaccarini, S. Longhi, M.R. Katebi

Research output: Contribution to conferencePaper

5 Citations (Scopus)

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.
Original languageEnglish
Pages6
Number of pages1
DOIs
Publication statusPublished - 2006
EventInternational Control Conference 2006 - Glasgow, UK
Duration: 30 Aug 20061 Sep 2006
http://ukacc.group.shef.ac.uk/Control_Conferences/Control2006/icc2006.htm

Conference

ConferenceInternational Control Conference 2006
Abbreviated titleICC2006
CityGlasgow, UK
Period30/08/061/09/06
OtherThe Conference covers Methods, Technology, Applications and Education in Control Engineering. UKACC seeks to act as an effective link between the UK and the international control communities, and to provide a focus for International Federation of Automatic Control (IFAC) related activities. UKACC has three constituent members: The Institution of Engineering and Technology (IET), The Institute of Measurement and Control (IMC), and The Institution of Mechanical Engineers (IMechE).
Internet address

Keywords

  • predictive control systems
  • state space stability
  • decentralized MPC strategy

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    Vaccarini, M., Longhi, S., & Katebi, M. R. (2006). State space stability analysis of unconstrained decentralized model predictive control systems. 6. Paper presented at International Control Conference 2006, Glasgow, UK, . https://doi.org/10.1109/ACC.2006.1655347