DocumentCode
3458045
Title
Distributed model predictive control and application to irrigation canal
Author
Sutrisno ; Salmah ; Wijayanti, Indah E.
Author_Institution
Dept. of Math., Gadjah Mada Univ., Yogyakarta, Indonesia
fYear
2012
fDate
23-26 Sept. 2012
Firstpage
126
Lastpage
130
Abstract
Most of the literatures use game approach to design distributed controller such as Feasible Cooperation MPC and Nash-bargaining MPC that contains the weighting for linear convex combination of objective functions. In this paper, we propose a scheme to determine the weighting values that proportional to the control load for each subsystem. To observe the effect of our weighting scheme, we apply the weighting scheme to control the irrigation canal using Feasible-Cooperation MPC and Nash-bargaining MPC. We choose the weighting values are proportional to the volume for each subsystem. We compare the result with weighting that are same for all subsystems. From the numerical simulation results, the total cost of our weighting give better result.
Keywords
distributed control; game theory; irrigation; predictive control; control load; distributed model predictive control; feasible-cooperation MPC; game approach; irrigation canal; linear convex combination; nash-bargaining MPC; numerical simulation; objective functions; weighting scheme; weighting values; Australia; Distributed MPC; Systemwide control; weighting scheme;
fLanguage
English
Publisher
ieee
Conference_Titel
Control, Systems & Industrial Informatics (ICCSII), 2012 IEEE Conference on
Conference_Location
Bandung
Print_ISBN
978-1-4673-1022-2
Type
conf
DOI
10.1109/CCSII.2012.6470486
Filename
6470486
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