DocumentCode
1756428
Title
Consensus Disturbance Rejection With Disturbance Observers
Author
Zhengtao Ding
Author_Institution
Sch. of Electr. & Electron. Eng., Univ. of Manchester, Manchester, UK
Volume
62
Issue
9
fYear
2015
fDate
Sept. 2015
Firstpage
5829
Lastpage
5837
Abstract
This paper deals with consensus disturbance rejection of network-connected dynamic systems using disturbance observers. The control objective of consensus disturbance rejection is to achieve a common state trajectory for the network-connected subsystems that are under deterministic disturbances. The difference from the existing disturbance rejection methods is that only the relative state information is used for disturbance rejection, and as a consequence of using the relative state information, only the part of the disturbances that affect the common trajectories will be rejected. The conditions for designing disturbance observers for consensus control are identified for networked-connected multiagent systems. Certain features of the individual subsystems are analyzed for possible implementation of disturbance-observer-based rejection, and the disturbance observers are designed based on the relative state information obtained from the neighboring subsystems under different network connections. When the network connectivity is available for the disturbance observer design, consensus disturbance rejection is achieved for a directed network with a spanning tree. A fully distributed consensus disturbance rejection design is presented for an undirected network with the use of adaptive parameters for the estimation of the unknown network connectivity. Disturbance observers are also proposed for disturbance rejection in the leader-follower consensus control.
Keywords
adaptive control; multi-agent systems; network theory (graphs); observers; trees (mathematics); deterministic disturbances; disturbance observers; fully distributed consensus disturbance rejection; leader-follower consensus control; network-connected dynamic systems; networked-connected multiagent systems; spanning tree; undirected network; Artificial neural networks; Control design; Eigenvalues and eigenfunctions; Laplace equations; Observers; Symmetric matrices; Trajectory; Adaptive Control; Adaptive control; Consensus control; Disturbance Observer; Disturbance Rejection; consensus control; disturbance observer; disturbance rejection;
fLanguage
English
Journal_Title
Industrial Electronics, IEEE Transactions on
Publisher
ieee
ISSN
0278-0046
Type
jour
DOI
10.1109/TIE.2015.2442218
Filename
7118664
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