DocumentCode :
794254
Title :
MPC as a tool for sustainable development integrated policy assessment
Author :
Kouvaritakis, B. ; Cannon, M. ; Couchman, P.
Author_Institution :
Dept. of Eng. Sci., Oxford Univ., UK
Volume :
51
Issue :
1
fYear :
2006
Firstpage :
145
Lastpage :
149
Abstract :
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.
Keywords :
closed loop systems; open loop systems; optimisation; predictive control; stability; sustainable development; static open-loop optimization; stochastic model predictive control; sustainable development integrated policy assessment; Constraint optimization; Instruments; Power generation; Predictive control; Predictive models; Research and development; Stability; Stochastic processes; Sustainable development; Wind turbines; Stochastic model predictive control (MPC); sustainable development;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/TAC.2005.861702
Filename :
1576867
Link To Document :
بازگشت