Information fusion based optimal decentralized control for stochastic largescale system

Author

Zhisheng, Wang ; Ziyang, Zhen

Author_Institution

Coll. of Autom. Eng., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing

fYear

2008

fDate

16-18 July 2008

Firstpage

694

Lastpage

698

Abstract

In allusion to the control problem of the complex stochastic largescale system, a novel decentralized control method based on information fusion estimation is proposed in this paper. Based on the information fusion optimal estimation theorem, by fusing the one-step predictive information of the largescale system state and the sub-system measurement information, the optimal estimation of the largescale system state is derived. Moreover, by fusing the state estimation information, the co-state estimation information and the soft constrained control energy information, the optimal estimation of the control station output is obtained.

Keywords

decentralised control; large-scale systems; optimal control; sensor fusion; state estimation; stochastic systems; complex stochastic largescale system; information fusion; one-step predictive information; optimal decentralized control; state estimation information; subsystem measurement information; Automation; Bismuth; Control systems; Distributed control; Educational institutions; Estimation theory; Extraterrestrial measurements; Optimal control; State estimation; Stochastic systems; Decentralized control; Information fusion; Largescale system; Optimal estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference, 2008. CCC 2008. 27th Chinese

Conference_Location

Kunming

Print_ISBN

978-7-900719-70-6

Electronic_ISBN

978-7-900719-70-6

Type

conf

DOI

10.1109/CHICC.2008.4605038

Filename

4605038