A distributed algorithm for average consensus on strongly connected weighted digraphs

Priolo, Attilio; Gasparri, Andrea; Montijano, Eduardo; Sagüés, Carlos

doi:10.1016/j.automatica.2013.12.026

Cited by 44 publications

(40 citation statements)

References 13 publications

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“…It can still be satisfied even if the communication graph among the followers does not contain any directed spanning tree. Moreover, different from the existing results based on an assumption that the communication topology of the multiple agents always meets some connection conditions [32,33], our assumption is weak and practical because the connected condition is not required to be satisfied in the whole execution cycle.…”

Section: Remarkmentioning

confidence: 94%

Robust adaptive consensus tracking for higher‐order multi‐agent uncertain systems with nonlinear dynamics via distributed intermittent communication protocol

Wang

Zhang

et al. 2015

Adaptive Control & Signal

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This paper considers the robust adaptive consensus tracking for higher-order multi-agent uncertain systems with nonlinear dynamics via distributed intermittent communication protocol. The main contribution of this work is solving the robust consensus tracking problem without the assumption that the topology among followers is strongly connected and fixed. The focus is the problem of actuator with occasional failure inputs and communication resources constraints. A novel distributed intermittent communication framework is proposed via adaptive approach. In this framework, the underlying communication topologies switch among several directed graphs with a limited directed spanning tree rooted at a leader agent. Furthermore, by introducing a strategy of actuator fault compensation inputs, a combination of robust consensus tracking protocol is designed by the different adaptive feedback controllers. It is proved that the robust adaptive consensus tracking can be achieved by using local states information of neighboring agents if the communication retention rate condition is satisfied. Two examples are presented to demonstrate the effectiveness of the proposed approach.

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Section: Remarkmentioning

confidence: 94%

Robust adaptive consensus tracking for higher‐order multi‐agent uncertain systems with nonlinear dynamics via distributed intermittent communication protocol

Wang

Zhang

et al. 2015

Adaptive Control & Signal

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“…

a b s t r a c tThis technical communique represents a generalization of the convergence analysis for the consensus algorithm proposed in Priolo et al (2014). Although the consensus was reached for any strongly connected weighted digraphs (SCWD), the convergence analysis provided in Priolo et al (2014) was only valid for diagonalizable matrices encoding a SCWD.

…”

mentioning

confidence: 99%

“…Although the consensus was reached for any strongly connected weighted digraphs (SCWD), the convergence analysis provided in Priolo et al (2014) was only valid for diagonalizable matrices encoding a SCWD. The result we present here generalizes the previous one to all possible matrices encoding a SCWD that can be used in the algorithm.…”

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confidence: 99%

Average consensus on strongly connected weighted digraphs: A generalized error bound

et al. 2015

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“…Its size is controlled by exploiting a design parameter. In [31], a distributed algorithm for average consensus that solves the discrete-time average consensus problem on strongly connected weighted digraphs is presented. Its principle lays in the computation of the average value using the estimation of the left eigenvector associated with the zero eigenvalue of the Laplacian matrix.…”

Section: Related Workmentioning

confidence: 99%

Distributed Aggregate Function Estimation by Biphasically Configured Metropolis-Hasting Weight Model

Kenyeres¹,

Kenyeres²,

Skorpil³

et al. 2017

RADIOENGINEERING

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A distributed algorithm for average consensus on strongly connected weighted digraphs

Cited by 44 publications

References 13 publications

Robust adaptive consensus tracking for higher‐order multi‐agent uncertain systems with nonlinear dynamics via distributed intermittent communication protocol

Robust adaptive consensus tracking for higher‐order multi‐agent uncertain systems with nonlinear dynamics via distributed intermittent communication protocol

Average consensus on strongly connected weighted digraphs: A generalized error bound

Distributed Aggregate Function Estimation by Biphasically Configured Metropolis-Hasting Weight Model

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