MPC as a tool for sustainable development integrated policy assessment

被引：23

作者：

Kouvaritakis, B ^{[1
]}

Cannon, A ^{[1
]}

Couchman, P ^{[1
]}

机构：

[1] Univ Oxford, Dept Engn Sci, Oxford OX1 3PJ, England

来源：

IEEE TRANSACTIONS ON AUTOMATIC CONTROL | 2006年 / 51卷 / 01期

关键词：

stochastic model predictive control (MPC); sustainable development;

D O I：

10.1109/TAC.2005.861702

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A recent stochastic and multiobjective formulation based on static open-loop optimization has laid the foundations of a quantitative approach to sustainable development policy assessment. Here, the connections between such an approach and model predictive control are explored, and a reformulation that introduces dynamics and addresses closed loop performance and stability is proposed. The approach has wide applicability but it is hoped that it will provide sustainable development practitioners in particular with new insights.

引用

页码：145 / 149

页数：5

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