NDLI: Containment control for the cooperative output regulation of linear multi-agent systems

Content Provider	IEEE Xplore Digital Library
Author	Shen Yanchao Yan Huaicheng Zhang Hao Shi Hongbo
Copyright Year	2013
Description	Author affiliation: Key Lab. of Adv. Control & Optimization for Chem. Processes, Shanghai, China (Shen Yanchao; Yan Huaicheng; Shi Hongbo) \|\| Dept. of Control Sci. & Eng., Tongji Univ., Shanghai, China (Zhang Hao)
Abstract	In this paper, the containment control problem is studied for the cooperative output regulation of linear multi-agent systems(MASs). The output regulation problem initiated from single-leader-follower region is extended to the multi-leadersfollower region. The purpose of this paper is to design a containment control algorithm such that all the followers can move into the convex hull formed by the leaders. A sufficient and necessary condition in term of a linear matrix inequality (LMI) is derived for the existence of a containment controller protocol that guarantees the followers are capable to follow the trail of leader and the output error will converge to zero with the time elapsing. Then, a controller design procedure is given to construct the feedback gain matrix and select the proper gain matrix for achieving final consensus of the MASs. Compared with the existing algorithms, the proposed one requires less information and calculation of the velocities measurement of the agents. Finally, a numerical example is illustrated to show the usefulness of the designed containment controller.
Starting Page	7296
Ending Page	7301
File Size	256300
Page Count	6
File Format	PDF
ISBN	9789881563835
ISSN	19341768
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	TCCT, CAA
Subject Keyword	Algorithm design and analysis Laplace equations Linear system Lead Educational institutions Output regulation Eigenvalues and eigenfunctions Topology Containment control Multi-agent systems
Content Type	Text
Resource Type	Article

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