An overview of recent progress in the study of distributed multi-agent coordination
This paper reviews some main results and progress in distributed multi-agent coordination,
focusing on papers published in major control systems and robotics journals since 2006 …
focusing on papers published in major control systems and robotics journals since 2006 …
Adaptive networks
AH Sayed - Proceedings of the IEEE, 2014 - ieeexplore.ieee.org
This paper surveys recent advances related to adaptation, learning, and optimization over
networks. Various distributed strategies are discussed that enable a collection of networked …
networks. Various distributed strategies are discussed that enable a collection of networked …
Adaptation, learning, and optimization over networks
AH Sayed - Foundations and Trends® in Machine Learning, 2014 - nowpublishers.com
This work deals with the topic of information processing over graphs. The presentation is
largely self-contained and covers results that relate to the analysis and design of multi-agent …
largely self-contained and covers results that relate to the analysis and design of multi-agent …
Diffusion adaptation strategies for distributed optimization and learning over networks
We propose an adaptive diffusion mechanism to optimize global cost functions in a
distributed manner over a network of nodes. The cost function is assumed to consist of a …
distributed manner over a network of nodes. The cost function is assumed to consist of a …
Diffusion LMS strategies for distributed estimation
FS Cattivelli, AH Sayed - IEEE transactions on signal …, 2009 - ieeexplore.ieee.org
We consider the problem of distributed estimation, where a set of nodes is required to
collectively estimate some parameter of interest from noisy measurements. The problem is …
collectively estimate some parameter of interest from noisy measurements. The problem is …
Diffusion strategies for adaptation and learning over networks: an examination of distributed strategies and network behavior
Nature provides splendid examples of real-time learning and adaptation behavior that
emerges from highly localized interactions among agents of limited capabilities. For …
emerges from highly localized interactions among agents of limited capabilities. For …
Gossip algorithms for distributed signal processing
Gossip algorithms are attractive for in-network processing in sensor networks because they
do not require any specialized routing, there is no bottleneck or single point of failure, and …
do not require any specialized routing, there is no bottleneck or single point of failure, and …
Diffusion adaptation over networks
AH Sayed - Academic Press Library in Signal Processing, 2014 - Elsevier
Adaptive networks are well-suited to perform decentralized information processing and
optimization tasks and to model various types of self-organized and complex behavior …
optimization tasks and to model various types of self-organized and complex behavior …
Adaptive fault tolerant control of cooperative heterogeneous systems with actuator faults and unreliable interconnections
This paper studies the active fault-tolerant control (FTC) problem for nonidentical high-order
multi-agent systems, in the presence of actuator faults and network disconnections. The …
multi-agent systems, in the presence of actuator faults and network disconnections. The …
Distributed parameter estimation in sensor networks: Nonlinear observation models and imperfect communication
The paper studies distributed static parameter (vector) estimation in sensor networks with
nonlinear observation models and noisy intersensor communication. It introduces separably …
nonlinear observation models and noisy intersensor communication. It introduces separably …