Consensus for nonlinear monotone networks with unilateral interactions
File(s)CDC_2016_unilateral.pdf (629.66 KB)
Accepted version
Author(s)
Manfredi, S
Angeli, D
Type
Conference Paper
Abstract
This paper deals with an extended framework of the distributed asymptotic agreement problem by allowing the presence of unilateral interactions (optimistic or pessimistic) in place of bilateral ones, for a large class of nonlinear monotone time-varying networks. In this original setup we firstly introduce notions of unilateral optimistic and/or pessimistic interaction, of associated bicolored edge in the interaction graph and a suitable graph-theoretical connectedness property. Secondly, we formulate a new assumption of integral connectivity and show that it is sufficient to guarantee exponential convergence towards the agreement subspace. Finally, we remark that the proposed conditions are also necessary for consensuability. Theoretical advances are emphasized through illustrative examples given both to support the discussion and to highlight how the proposed framework extends all existing conditions for consensus of monotone networks.
Date Issued
2016-12-29
Date Acceptance
2016-12-12
Citation
2016 IEEE 55th Conference on Decision and Control, CDC 2016, 2016, pp.2609-2614
ISBN
9781509018376
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Start Page
2609
End Page
2614
Journal / Book Title
2016 IEEE 55th Conference on Decision and Control, CDC 2016
Copyright Statement
© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Source
2016 IEEE 55th Conference on Decision and Control, CDC 2016
Publication Status
Published
Start Date
2016-12-12
Finish Date
2016-12-14