DocumentCode
1797908
Title
Distributed LQR design for multi-agent systems on directed graph topologies
Author
Tao Feng ; Huaguang Zhang ; Yanhong Luo ; Yingchun Wang
Author_Institution
Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
fYear
2014
fDate
6-11 July 2014
Firstpage
2732
Lastpage
2737
Abstract
In this paper, the inverse optimal approach is employed to design distributed cooperative control protocols for identical linear systems that guarantee consensus and global optimality with respect to a positive (semi-) definite quadric performance index. Cooperative control and pinning control problems are considered, where the communication graphs are assumed to be directed and have fixe topology. Simple sufficient conditions are established, which indicate that the global optimality is achieved using local distributed protocols which are designed by the linear quadric regulator (LQR) based optimal control method. Examples are given to show the effectiveness of the proposed methods.
Keywords
control system synthesis; directed graphs; distributed control; linear quadratic control; linear systems; multi-robot systems; LQR based optimal control method; communication graphs; directed graph topology; distributed LQR design; distributed cooperative control protocols; inverse optimal approach; linear quadric regulator design; linear systems; multi-agent systems; pinning control; semidefinite quadric performance index; sufficient conditions; Couplings; Educational institutions; Eigenvalues and eigenfunctions; Laplace equations; Optimal control; Protocols; Symmetric matrices;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks (IJCNN), 2014 International Joint Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4799-6627-1
Type
conf
DOI
10.1109/IJCNN.2014.6889679
Filename
6889679
Link To Document