MPC AS A TOOL FOR SUSTAINABLE DEVELOPMENT INTEGRATED POLICY ASSESSMENT

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

4 Scopus Citations
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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)513-518
Journal / PublicationIFAC Proceedings Volumes (IFAC-PapersOnline)
Volume36
Issue number18
Publication statusPublished - Sep 2003
Externally publishedYes

Conference

Title2nd IFAC Conference on Control Systems Design, CSD 2003
PlaceSlovakia
CityBratislava
Period7 - 10 September 2003

Abstract

Recent work has laid the foundations of a quantitative approach to sustainable development policy assessment through a formulation which is both stochastic and multi-objective. The key to this development was a static open-loop optimization. The current paper explores the connections between such an approach and model predictive control (MPC), and proposes a reformulation which retains the stochastic and multi-objective nature of the problem, but introduces dynamics and gives consideration to closed-loop performance and stability. The proposed approach has wide applicability but it is hoped that it will provide sustainable development practitioners in particular with new insights.

Research Area(s)

  • Sustainable development, model predictive control, stochastic systems

Citation Format(s)

MPC AS A TOOL FOR SUSTAINABLE DEVELOPMENT INTEGRATED POLICY ASSESSMENT. / Kouvaritakis, B.; Cannon, M.; Huang, G.

In: IFAC Proceedings Volumes (IFAC-PapersOnline), Vol. 36, No. 18, 09.2003, p. 513-518.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review