Parallel and distributed computation: numerical methods
Parallel and distributed computation: numerical methods
Gossip-Based Computation of Aggregate Information
FOCS '03 Proceedings of the 44th Annual IEEE Symposium on Foundations of Computer Science
Automatica (Journal of IFAC)
Distributed Control and Analysis of Coupled Cell Systems
Distributed Control and Analysis of Coupled Cell Systems
Distributed Consensus in Multi-vehicle Cooperative Control: Theory and Applications
Distributed Consensus in Multi-vehicle Cooperative Control: Theory and Applications
Accelerated distributed average consensus via localized node state prediction
IEEE Transactions on Signal Processing
Average Consensus with Packet Drop Communication
SIAM Journal on Control and Optimization
Gossip consensus algorithms via quantized communication
Automatica (Journal of IFAC)
Consensus of multiagent systems and synchronization of complex networks: a unified viewpoint
IEEE Transactions on Circuits and Systems Part I: Regular Papers
IEEE Transactions on Information Theory
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We study the average consensus problem of multi-agent systems for general network topologies with unidirectional information flow. We propose two linear distributed algorithms, deterministic and gossip, respectively for the cases where the inter-agent communication is synchronous and asynchronous. In both cases, the developed algorithms guarantee state averaging on arbitrary strongly connected digraphs; in particular, this graphical condition does not require that the network be balanced or symmetric, thereby extending previous results in the literature. The key novelty of our approach is to augment an additional variable for each agent, called ''surplus'', whose function is to locally record individual state updates. For convergence analysis, we employ graph-theoretic and nonnegative matrix tools, plus the eigenvalue perturbation theory playing a crucial role.