Title
Cooperative Control Based On Distributed Estimation Of Network Connectivity
Abstract
This paper addresses distributed estimation and control problems for directed network, whose connectivity can be captured by the first left eigenvector associated with the dominant eigenvalue of the communication matrix. In particular, distributive estimation scheme is designed such that the first left eigenvector as well as the expected consensus vector are estimated online employing the same communication network among the systems. Based on the estimation results, distributed cooperative controls with adaptive gains are synthesized to improve convergence of the overall system by making the time derivative of the cooperative control Lyapunov function more negative over time, such that the convergence to the expected consensus value can be enhanced. Simulation results demonstrate the effectiveness of the proposed design. © 2011 AACC American Automatic Control Council.
Publication Date
9-29-2011
Publication Title
Proceedings of the American Control Conference
Number of Pages
3441-3446
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
80053144597 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/80053144597
STARS Citation
Qu, Zhihua; Li, Chaoyong; and Lewis, Frank, "Cooperative Control Based On Distributed Estimation Of Network Connectivity" (2011). Scopus Export 2010-2014. 2897.
https://stars.library.ucf.edu/scopus2010/2897