Game approach to distributed model predictive control

Giovanini, L. (2011) Game approach to distributed model predictive control. IET Control Theory and Applications, 5 (15). pp. 1729-1739. ISSN 1751-8644

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Abstract

This study introduces a framework for distributed model predictive control (MPC) based on dynamic games, where centralised and decentralised control algorithms can be viewed as dynamical games with coupled control sets. The original optimisation problem is decomposed into smaller coupled optimisation problems in a distributed structure, which is solved iteratively. Then, the resulting dynamic game is analysed using the theory of potential games to derive the properties of the resulting algorithms. This sheds new light on the properties of existing MPC algorithms and allows us to establish a unified framework to analyse them. The control problem of a heat-exchanger network (HEN) is used to illustrate the effectiveness, practicality and limitations of the proposed framework

Creators(s): Giovanini, L.;
Item type:Article
ID code:37352
Keywords:receding horizon control, networks , coordination, MPC, systems, optimization, game approach, distributed model, predictive control, Electrical engineering. Electronics Nuclear engineering, Control and Optimization, Control and Systems Engineering, Computer Science Applications, Electrical and Electronic Engineering, Human-Computer Interaction
Subjects:Technology > Electrical engineering. Electronics Nuclear engineering
Department:Faculty of Engineering > Electronic and Electrical Engineering
Depositing user: Pure Administrator
Date deposited:03 Feb 2012 15:20
Last modified:06 Sep 2020 01:18
URI:https://strathprints.strath.ac.uk/id/eprint/37352
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