DocumentCode :
724789
Title :
Game theory-based distributed predictive control: Application to shell oil fractionator
Author :
Roshany-Yamchi, Samira ; Escano, Juan Manuel ; Canty, Niel ; Cornelio, Avi Anthony
Author_Institution :
Dept. of Electron. Eng., Cork Inst. of Technol., Cork, Ireland
fYear :
2015
fDate :
24-25 June 2015
Firstpage :
1
Lastpage :
6
Abstract :
In this paper we propose to study the underlying properties of our formerly proposed distributed multi-rate predictive control strategy based on Nash game [1]. In this proposed method a set of multi-rate constrained agents communicate to accomplish their goals. The problems of how to decide the multirate communication strategy, share the inputs, estimated states and observers gains are solved using tools from game theory. The proposed scheme is demonstrated through a simulation example. Eventually different multi-rate scenarios have been simulated to present the performance of the method under all possible scenarios and also comparison of these scenarios together.
Keywords :
distributed control; fractionation; game theory; predictive control; Nash game; distributed multirate predictive control strategy; game theory-based distributed predictive control; multirate communication strategy; multirate constrained agents; shell oil fractionator; Biomedical measurement; Decentralized control; Games; Heating; Kalman filters; Noise; Time measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals and Systems Conference (ISSC), 2015 26th Irish
Conference_Location :
Carlow
Type :
conf
DOI :
10.1109/ISSC.2015.7163774
Filename :
7163774
Link To Document :
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